Coordinating European Future Internet Research

data management

CONCEDE

Posted by www.cefims.eu on August 18, 2014   |   Comments Off

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SUMMARY

The research in “Content Based Query Concept for Exploration and Discovery of Information in Earth Observation and Medical Libraries” – CONCEDE project aims at enhancing the functionalities of the Earth Observation (EO) Payload Ground Segment systems and the next-generation services for an enhanced data realisation.
With an exponential increase of available data volume, the need for a new generation of data mining tools and knowledge discovery in databases concepts becomes emergent. CONCEDE pursues to develop a complete and embracive theoretical and applicative framework that will allow for a compendious exploration of heterogeneous data resources, resulting in the discovery of semantic information hidden in image libraries. A demonstrator will be generated in order to validate and evaluate the capabilities of the proposed concept. The project’s objectives envisage three main contribution: to European Space Agency (ESA) research activities, to new applications solutions development and to scientifically development.

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SOLUTIONS

  • Developing a complete theoretical and applicative framework that will allow for a comprehensive exploration of heterogeneous data resources, resulting in the discovery of semantic information hidden in image libraries
  • Analyzing the image content through data compression algorithms which do not require any prior knowledge extraction and it are completely parameter free

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LINK:http://ceospacetech.pub.ro/index.php/research/concede

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COST: Transit

Posted by www.cefims.eu on August 15, 2014   |   Comments Off

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SUMMARY

Information and communications technology can increase infrastructure usage, improve safety, enhance travellers access to information and reduce transportation times as well as fuel consumption. Therefore advanced Intelligent Transportation Systems (ITS) are becoming increasingly widespread as a mean of optimizing transit operations and infrastructure usage. However, models currently used to describe and predict passengers lows across the network do not take adequately into consideration the effects brought about by ITS on transit operations and on user behavior. Hence, transport planning based onto ITS is not completely meaningful and does not exploit to the full the amount of high quality data made availabl. This deficiency can delay the realization of the benefits of enhanced passenger information provision.

The project aims to gathers together researchers in the field of transport and urban and regional planning, transport operators and authorities, consultancies and software developers. The main goal is to exchange knowledge and research in the field of transit assignment models, tailored to the era of Intelligent Transport Systems.

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SOLUTIONS

  • Improving on existing solutions in the field of transit assignment models
  • Increasing infrastructure usage, improving safety, enhancing travellers’ access to information and reducing transportation times as well as fuel consumption

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LINK:http://www.tsi.lv/lv/content/cost-action-tu1004-modelling-public-transport-passenger-flows-era-intelligent-transport

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Data-Centric Genomic Computing (GenData 2020)

Posted by www.cefims.eu on August 14, 2014   |   Comments Off

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SUMMARY

The main objective of the project is the creation of new innovative technology solutions to support healthcare systems of the next generation. In the near future, genomic medicine will be fully integrated in the care of patients and genomic data will be part of the medical information of each of us. If this scenario impacts positively on our lives (eg., Diagnosis genomic allow to treat individuals according to personalized therapies), at the same time several issues are raised which need to be addressed such as the way in which genomic data are modeled and queried, or the need to protect the privacy of sensitive information. In this project, the research team will focus on aspects of security and privacy, the key factors for successful integration of genomics in healthcare systems. How do we ensure that our sensitive genomic data are adequately protected? How to ensure that the privacy of individuals who participate in medical studies to be preserved? How to assure that only authorized parties to access genomic data? UNIMI will answer these and other questions by developing innovative solutions that address the issues of security and privacy related to the storage, collection, dissemination and use of genomic data.

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SOLUTIONS

  • Designing the data model GenData 2020 given the diversity of genomic data and providing a high-level language for the selective extraction of data.
  • Collaborating in the definition of the data model to ensure that includes the features needed for the specification and implementation of security controls and privacy.
  • Developing a formal and rigorous semantics for (part of) the conceptual model and define an executable formal semantics for the query language.
  • Identifying the properties that must be met by cryptographic solutions used for data and applications.
  • Developing an expressive and flexible model, a language and a mechanism for controlling access to the specification and implementation of permissions that govern access to genomic data.

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LINK:http://eng.di.unimi.it/ecm/home/research/funded-research-projects?p_p_id=TOWERADDON_6_WAR_ssoproxyportlet_INSTANCE_yJra&p_p_lifecycle=0&p_p_state=maximized&template=ricercaDettaglioProgetto.vm&idprogetto=1234&backURL=http%3A%2F%2Feng.di.unimi.it%2Fecm%2Fhome%2Fresearch%2Ffunded-research-projects%3Fp_p_id%3DTOWERADDON_6_WAR_ssoproxyportlet_INSTANCE_yJra%26amp%3Bp_p_state%3Dnormal%26amp%3Bp_p_lifecycle%3D0%26amp%3Btemplate%3DricercaProgetti.vm%26amp%3Bdepartment%3D6589%26amp%3Blanguage%3Den_US%26amp%3Bnoindex%3Dtrue

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FReSCo

Posted by www.cefims.eu on July 18, 2014   |   Comments Off

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SUMMARY

Control system paradigms, based on Internet of Things technology, are an essential part of modern software systems. In the FReSCo project, a model will be developed for future resilient control systems capable of measuring a wide set of observables, including inexact ones derived from the environment. Because of the differences in the resources, protocols, and devices, inexact observables are incomparable with rigorous control system data. Hence, it is not easy to build systems which can incorporate such data. It is therefore necessary to derive a method for identifying and representing relevant context, as well as proposing a method which will describe the relation between the raw observables and the data.

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SOLUTIONS

  • Investigating the use of formal methods to solve the problem
  • Providing reusable solutions improving the development of industrial processes for future resilient control systems.

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LINK:http://monet.uef.fi/wiki/FResCo

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WallViz

Posted by www.cefims.eu on July 17, 2014   |   Comments Off

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SUMMARY

The objective of the WallViz research project is to use develop wall-sized, interactive displays to improve decision making processes based on massive collections of data. The academic project participants address this objective in collaboration with case partners working in healthcare, finance, and sustainability. Their analysis of data is essential for the efficient use of resources and has direct consequences for businesses and society, for instance, by improving the resource efficiency of the healthcare sector, analyzing resource expenditure in companies, and helping to address climate change.

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SOLUTIONS

  • Developing highly interactive, wall-sized visualisations that allow fast-paced interactive and collaborative exploration of massive collections of data.
  • Inventing database techniques which allow for fast response to ad-hoc user queries and for finding interesting starting points for subsequent interactive exploration.
  • Understanding the problem areas, needs, and data analysis practices in case partners’ work, grounding the research in important and concrete concerns.
  • Integrating and evaluating visualisations in case partners’ work, aiming at improving analyses of massive data collections and, consequently, decision-making.

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LINK: http://wallviz.dk/

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Massive Data Mining by Sampling (MaDaMS)

Posted by www.cefims.eu on July 16, 2014   |   Comments Off

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SUMMARY

Data mining is the driving force behind a paradigm shift in the way we conceive models of our surroundings. Society relies extensively on models of physical, social, and economic phenomena, that give us the predictive power which allows us to build a bridge in the confidence that it will not collapse, forecast the effect of economic stimulus packages, select the best livestock for breeding, and so on. The massive amount of data that has become available opens the up opportunity for completely new ways of understanding and modeling data, through the use of algorithms. This project will explore the possibilities available in a new approach to massive data mining which has origins in advanced sampling methods of data stream algorithmics.

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SOLUTIONS

  • Marrying efficient algorithms and statistical principles in the field of data mining.
  • Focusing on three application areas with a common theoretical core: Financial modeling, recommendation systems, and genotype/phenotype mining.  

LINK:itu.dk/en/Research/~/link.aspx?_id=691A59A67CE64415ACAAAC486820FC23&_z=z

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eData

Posted by www.cefims.eu on July 16, 2014   |   Comments Off

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SUMMARY

The shift towards e-Science and the use of computational techniques in the sciences brings with it the need for effective analyses of very large collections of often complex scientific data.

Much of today’s data handling, ranging from measuring relevant variables, to data collection, to integration, to analysis, and finally to decision making, is processed through automated techniques. The term e-science (electronic or enhanced science) is used to denote this type of data intensive and computationally intensive work in collaborative science. Analytical results and decision making are based on various processes, each of which might introduce errors.

This project aims to provide a foundation for e-Science by developing novel techniques that enable scientists to detect and correct anomalies in source data, in an on-line, interactive, lineage-preserving, and semi-automatic manner. This contrasts traditional algorithms that operate in a batch manner on static data and require data mining expertise for their use. We propose a new paradigm that allows domain experts to tap into the full potential of data mining by inventing scalable algorithms that build on insights from most notably the area of subspace clustering to offer effective foundations for anomaly detection and correction that render subsequent analyses robust in the context of imperfect source data.

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SOLUTIONS

  • Identifying relevant subspace projections in high dimensional data
  • Scaling to large scale data collections
  • Integrating seamlessly into the eScience lifecycle
  • Handling dynamic data incrementally and efficiently
  •  Making use0friendly for those with little or no data mining expertise
  • Allowing for feedback and updating by domain experts

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LINK: http://itu.dk/en/Forskning/Forskningsprojekter/SmartOSN

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Irish Record Linkage, 1864-1913

Posted by www.cefims.eu on June 19, 2014   |   Comments Off

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SUMMARY

Irish Record Linkage is a project funded by the Irish Research Council, and developed in partnership with the Digital Repository of Ireland, University of Limerick and Insight at NUI Galway. The project aims to provide a comprehensive map of infant and maternal mortality for Dublin from 1864-1913. The project will reconstruct family units and create longitudinal histories by linking records of Birth, Marriage and Death (vital registration data), generously provided by the General Register Office.

In order to link individuals, the project will create a Knowledge Platform entitled Irish Record Linkage (IRL) to enhance the research potential of individual level metadata, using best practice in Digital Archiving to facilitate the application of Linked Data technologies, and ingesting content into the Digital Repository of Ireland for long term accessibility and preservation. The application of Linked Data technologies with state of the art digital archiving, preservation and discovery technologies will allow us to interrogate this historical Big Data.

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SOLUTIONS

  • Implementing and developing Big Data and data management technologies to furnish new historical data
  • Creating a knowledge platform to enhance the research potential of individual level metadata

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LINK: http://www.dri.ie/projects

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MOTIF

Posted by www.cefims.eu on June 18, 2014   |   Comments Off

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SUMMARY

The MoTIF project aims to create thesaurus construction guidelines and a pilot thesaurus of Irish folklore. The guidelines provide information on the construction of thesauri for librarians, archivists, museum professionals and other information professionals. Thesauri are vital and valuable tools in content discovery, information organisation and retrieval, and activities common to all fields including cultural heritage and higher education as well as business and enterprise. These guidelines will act as a comprehensive introduction to thesauri and will give professionals the advice they need to improve their own data practices by adhering to international standards and best practice.

The pilot thesaurus, also known as MoTIF, is intended to accompany the thesaurus construction guidelines and acts as an illustrative guide, providing examples throughout the guidelines as well as a sample thesaurus and demonstration of the international principles and best practices outlined in that document.

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SOLUTIONS

  • Creating thesaurus construction guidelines and a pilot thesaurus of Irish folklore
  • Conserving our cultural heritage and improving higher education with leading-edge digital technology

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LINK: http://www.dri.ie/projects

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IT for Knowledge Management

Posted by www.cefims.eu on June 13, 2014   |   Comments Off

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SUMMARY

The continuing rapid growth in the volume of data generated by multiple, heterogeneous sources has created the need for increasingly efficient methods of processing and acquiring information. Data must be structured and stored in the right way; it must be possible to efficiently search through the data and analyse it to extract information which would not otherwise be obtained without sophisticated methods and algorithms.

This project uses methods drawn from biological processes to process large amounts of weakly structured data. Methods gleaned from the study of natural phenomena allow processes and theoretical models to be utilised in the develop computational systems and algorithms capable of solving complex problems that cannot be solved (without difficulties) by traditional techniques.

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SOLUTIONS

  • Developing biomedical applications for the measurement of large-volume data, such as signal processing with a primary emphasis on signals of biological origins, and the modelling and verification of complex processes when planning radio-therapy
  • Designing intelligent networks (Smart Grids) which will allow sustainable development through resource optimisation and active management of energy flows in smart grids with emphasis on increasing the positive impact on the environment and social level of the population
  • Developing the technology for massively parallel computing on various technological platforms

 

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LINK: http://www.it4i.cz/3885-2/research-teams/it-for-knowledge-management/?lang=en&lang=en&lang=en

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RODOS 2

Posted by www.cefims.eu on June 13, 2014   |   Comments Off

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SUMMARY

This project is working on applications which will predict flooding in an area several hours in advance and can rapidly identify traffic congestion in real time so tat traffic can be diverted away from the flooded area without causing traffic congestion in other areas.
Such a solution would rely on collating large amounts of data and evaluating it using efficient algorithms which can extract the relevant information necessary for effective decision-making.

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SOLUTIONS

  • Improving data supply and management to support management and decision-making in emergency situations
  • Creating traffic load simulation and prediction to aid intelligent navigation and traffic control
  • Modelling flood, fire spread and air pollution
  • Designing tools for reliability analysis and risk assessment

 

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LINK: http://www.it4i.cz/earth-sciences/rodos-2/?lang=en&lang=en

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A formal approach to querying big data

Posted by www.cefims.eu on June 12, 2014   |   Comments Off

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SUMMARY

Over the recent years “big data” has became a near-ubiquitous buzzword. The term “big data” generally refers to a context where Gigabytes constitute the unit size for measuring data volumes, where Terabytes are commonly encountered, and many Web companies, scientific, and financial institutions must deal with Petabytes of information. In response to pressing practical needs a variety of systems have arisen, in an ad-hoc and improvisational manner for handling big data.

Some of these systems have led to a revival of parallel database management systems and an increased interest in so-called NoSQL data repositories. While progress in database research has lead to a deeper understanding of traditional non-distributed data models and sequential querying, progress in the area of big data computation has proved so far to be insufficient and initial models are only scarcely developed. Given the number of competing systems and their diversity, it remains unclear which system is best suited for which kind of queries. This project therefore aims to develop and study computational models for big data to provide insight into the use of existing systems and to formulate possible improvements and synergies.

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SOLUTIONS

  • Developing a system which is robust against the large-scale computational complexity associated with big data
  • Studying query and transformation languages for big data within the developed computational framework.

 

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LINK: http://www.researchportal.be/en/project/a-formal-approach-to-querying-big-data-%28UH_R-4633%29/

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Computational models for big data algorithms.

Posted by www.cefims.eu on June 12, 2014   |   Comments Off

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SUMMARY

A central theme in computer science is the design of efficient algorithms. However, recent experiments show that many standard algorithms become unreliable when applied in the context of big data. This is particularly true in the case of database queries. Unfortunately, existing theoretical tools for analysing and validating algorithms cannot tell whether an algorithm will perform reliably in a big data context.

Indeed, algorithms that are considered to be tractable in the classical sense are not tractable anymore when big data is concerned. This project calls for a revisit of classical theoretical assumptions regarding computational complexity. The main goal of this project is the development of a formal foundation, and an accompanying model for scaling up computational complexity, which can be used as a framework in the study of algorithm tractability in the context of big data.

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SOLUTIONS

  • Developing a formal foundation, and an accompanying model for scaling up computational complexity, which can be used as a framework in the study of algorithm tractability in the context of big data
  • Revisiting classical theoretical assumptions regarding computational complexity

 

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LINK: https://www.uantwerpen.be/en/rg/adrem/projects/

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TraPIST

Posted by www.cefims.eu on June 11, 2014   |   Comments Off

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SUMMARY

Real-time travel information for rail travelers is still used inefficiently today and is rarely combined with other data sources. It is up to the rail travelers themselves to look actively for important information about their trip. The TraPIST project team believes that in a dynamic context such as that of public transport, it would be much simpler to be able to consult the right information at the right time.

The current generation of applications based on real-time train information (RTTI) is still not fully using (open) data to facilitate rail travel. They are often based on only one source, even though more relevant sources are available (e.g. vehicle sensor data, passenger data, weather forecast, etc.). Moreover, travelers today expect additional ‘layers’ of information, such as integration with social media or entertainment.

The TraPIST project seeks to offer train travelers relevant information at the right time and through the most appropriate channel.

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SOLUTIONS

  • Developing applications for smart devices and public displays which collects, analyzes, classifies and filters data from various sources, based on a dynamic traveler profile. These applications can be practical, offering travel-related information, as well as social information or entertainment
  • Tailoring the information to specific circumstances, contexts, and user preferences

 

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LINK: http://kom.aau.dk/project/edge/

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CeADER

Posted by www.cefims.eu on June 4, 2014   |   Comments Off

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SUMMARY

Irish funding agencies and government research programmes have made Data Analytics a priority area. CeADAR (the Centre for Applied Data Analytics Research) was established to enable research in the field of Applied Data Analytics and is supported by industry partners of commercial interest to specific sectors. CeADAR is an industry-led technology centre initiative for innovation and applied research in the area of Data Analytics. The centre seeks to accelerate the development, deployment and adoption of Data Analytics technology and relevant innovations. CeADAR is led by UCD with partners UCC and DIT; the academic partners work closely with Irish based companies to make the centre an internationally renowned hub for data analytics research.

CeADAR is developing a world-class creative environment that will foster innovation and support the development of a team of highly innovative technology professionals. CeADAR aims to deliver on a research agenda defined by a consortium of SMEs and MNCs operating in Ireland. Research will be carried out within the broad boundaries of three distinct themes: Intelligent Analytic Interfaces; Data Management for Analytics; Advanced Analytics.

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SOLUTIONS

 

  • Developing tools, techniques and technologies that enable more people, organisations and industries to use analytics for better decision making.
  • Transferring of research outputs to industry.
  • Designing prototypes and demonstrators, and producing white papers summarising the development of data analytics tools and technologies and of best-practice methodologies and processes.
  • Working to establish an international reputation and to develop relationships with international research centres (both academic and industry).
  • Intelligent Analytics:
  • Assisting users in achieving the insights they require through intelligent analytic user interfaces and to encourage inquisitiveness .SmartSeg, a customer segmentation tool is being developed.Developing methodologies and techniques for modelling and incentivising specific user behaviours in complex scenarios using techniques from game theoretic mechanism design and investigating the effect of different communication options. NudgeAlong, a tool which changes user behaviour, is being developed under this subtheme.
    • Presenting the right results in the right medium at the right time to achieve a desired result which includes a level of personalisation of outputs for the end users and optimal learning of what a user needs based on their activity to date. Passive Analytics, a customer contact tool is being developed under this subtheme.
  • Data Management:
    • Addressing the resource intensive activity involved in preparing data for analytics (as opposed to operational) purposes. AI for business process modeling is being developed under this subtheme.
    • Minimising the possible downstream effects on error prone results from bad data.  The Querying With Confidence tool is being developed under this subtheme.
  • Advanced Analytics:
    • Creating techniques, tools, and methods to identify trending scenarios in social networks within a defined/relevant context and linking it to internal data. The Social media entity monitoring tool is being developed under this subtheme.
    • Developing methodologies, processes, technologies, tools, and algorithms to analyse continuous streams of data using complex analytic algorithms to report the most accurate and timely results. The Continuous Clustering and Forecast Technology Platform tools are being developed under this subtheme.

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LINK: http://www.ucd.ie/ceadar/

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SUPERHUB

Posted by www.cefims.eu on August 9, 2013   |   Comments Off

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SUMMARY

The SUPERHUB project (SUstainable and PERsuasive Human Users moBility in future cities )provides a user-centric, integrated approach to multi-modal smart metropolitan mobility systems. It will design and test an open platform able to combine in real time all mobility offers from the relevant stakeholders together with a set of enabling mobility services able to address users mobility needs, to redesign transport route options and to foster behavioural changes.

Several partners from all over Europe are engaged in the realisation of a user-centric, integrated approach to multi-modal smart metropolitan mobility systems. The ultimate project goal is to create an open platform able to combine in real time all mobility offers together with a set of enabling mobility services able to address users mobility needs, to redesign transport route options and to foster behavioural changes.

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SOLUTIONS

  • SUPERHUB promotes the creation of a new urban mobility services ecosystem, where all actors are represented and the take-up of virtuous behaviours is facilitated by the development of an open platform able to:
    • Gathering real-time data from all possible mobility sources
    • Providing matchmaking and negotiation capabilities between providers and consumers of mobility offers for better routing decisions
    • Enabling the development of mobility services able to fulfil users’ needs and stimulate behavioural changes.

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LINK: http://superhub-project.eu/

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SeaDataNet2

Posted by www.cefims.eu on August 9, 2013   |   Comments Off

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SUMMARY

The overall objective of the SeaDataNet 2 project is to upgrade the present SeaDataNet infrastructure into an operationally robust and state-of-the-art Pan-European infrastructure for providing up-to-date and high quality access to ocean and marine metadata, data and data products extracted from member states.

The project will set, adopt and promote common data management standards and realise technical and semantic interoperability with other relevant data management systems and initiatives on behalf of science, environmental management, policy making, and economy.

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SOLUTIONS

  • Creating a leading edge, Pan-European infrastructure which will provide real-time, high quality data for ocean and marine activities
  • Running 40 data centres staffed by highly skilled professionals, actively engaged in data management and possessing the the essential capabilities and facilities for data quality control, long term stewardship, retrieval and distribution
  • Realising data access and data products services that meet requirements of end-users and intermediate user communities, such as GMES Marine Core Services
  • Establishing SeaDataNet as the core data management component of the EMODNet infrastructure and contributing on behalf of Europe to global portal initiatives
  • Achieving INSPIRE compliance and to contribute to the INSPIRE process for developing implementing rules for oceanography

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LINK: http://www.seadatanet.org/

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ExODA

Posted by www.cefims.eu on August 9, 2013   |   Comments Off

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SUMMARY

Sources of semi-structured, overlapping, and semantically-related data on the Web are currently proliferating at a phenomenal rate. This development has created an unprecedented demand for more powerful and flexible information systems (ISs). This new generation of ISs will need to integrate incomplete and semi-structured information from heterogeneous sources, employ rich and flexible schemas, and answer queries by taking into account both knowledge and data

Ontology-based data access has recently been proposed as an architectural principle for such systems. However, such systems suffer from several critical problems.  Database theory and practice can provide partial solutions to these problems. Database techniques alone do not, however, satisfy all the requirements for an ontology-based IS.

The project team believes that the next generation of ontology-based ISs should be based on a synthesis and an extension of ontology and database systems and techniques. In meeting this ambitions goal, however, a number of challenging fundamental problems must be solved. The project team hopes to overcome these challenges and help develop the next generation of information systems.

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SOLUTIONS

  • Providing data handling capabilities similar to current Relational Database Management Systems (RDBMS), but with schemas that are rich, flexible, and tightly integrated with the data
  • Unifying ontology and dependency languages in a coherent theoretical framework
  • Identifying fragments of the IS framework that are likely to exhibit robust scalability but can still support realistic use cases
  • Devising effective algorithmic techniques that can form the basis of practical ISs

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LINK: http://www.cs.ox.ac.uk/projects/ExODA/

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DIDERO

Posted by www.cefims.eu on August 9, 2013   |   Comments Off

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SUMMARY

Diverse database replication protocols have the potential to provide higher dependability assurance than traditional approaches that replicate DBMSs (Database Management Systems) from the same vendor. However, besides achieving appropriate dependability level, system designers and other DBMS stakeholders are interested in the performance characteristics offered by different solutions. For many applications performance is, in fact, the dominant criterion in the selection process.

This project concerns itself with the experimental evaluation of diverse database replication protocols. It aims at comparing the performance of several academic database replication protocols based on diverse DBMSs. Work will be carried out through the construction of models and through direct experimentation in a tetsbed.

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SOLUTIONS

  • Comparing the performance of several academic database replication protocols which protect against non-crash failures and are based on diverse DBMSs
  • Evaluating both commercial and open-source DBMSs
  • Conducting the experimental evaluation through both a model-based approach and through direct experimentation on a testbed with “real” systems.

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LINK: http://www.city.ac.uk/informatics/school-organisation/centre-for-software-reliability/research/research-projects/didero-pc

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Informatics and Information Security Centre

Posted by www.cefims.eu on August 9, 2013   |   Comments Off

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SUMMARY

Storing and communicating military or civil information securely is a critical service for any country or organisation. In today’s information age, it is important that the increasingly large volume of digital data and communication is stored and conducted in a trusted and secure manner.

The Informatics and Information Security Centre (TUBITAK BILGEM) seeks to ensure that information systems can supply services which ensure operations continuity, boost efficiency, and are trusted and innovative. Specifically, the centre aims to accurately analyse the security and Quality of Service requirements of informatics systems, and to select system architectures on the basis of thorough risk analyses.

The Centre doesn’t provide one−size−fits−all solutions. Instead, it offers bespoke services tailored to the security requirements of each individual public or private client.

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SOLUTIONS

  • Predicting the threats and vulnerabilities of the Future Internet to help build its defences before threats materialise
  • Allowing citizens to access eGovernment services securely, effectively and quickly

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LINK: http://uekae.tubitak.gov.tr/sid/548/pid/547/index.htm

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Effective Load Management in Stream Processing

Posted by www.cefims.eu on August 9, 2013   |   Comments Off

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SUMMARY

This project seeks to investigate techniques that help in coping with large volumes of data that cannot be handled with the available resources at hand, in the context of stream processing systems. Specifically, the project team will study joint system-application optimization techniques for more effective load shedding than system-only and application-only approaches and smart compression techniques (both lossy and lossless) for streaming transports with the aim of improving both techniques.

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SOLUTIONS

  • Producing a registration interface to help bridge load shedding decisions and techniques by helping the middleware to reason about the Quality of Service of applications
  • Taking advantage of the differing characteristics of different stream attributes with respect to compression ratio, cost, and size, so as to adapt runtime dynamics to such changes in the bandwidth availability, CPU availability, and workload availability

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LINK: http://www.cs.bilkent.edu.tr/~bgedik/bildids/doku.php/projects:loadmanage

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Trustworthy Cloud Storage

Posted by www.cefims.eu on August 9, 2013   |   Comments Off

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SUMMARY

Cloud Computing offers its users centralized and inexpensive computing services, facilitating the development of large and scalable applications. Despite the advent of cloud computing, many individuals and companies are reluctant to entrust the cloud with their data.

This project identifies three “nightmare” scenarios that illustrate typical concerns and which discourage wider adoption of cloud computing services: malicious users, and low performance. In this context, the project team aims to adders these scenarios by contributing to the development of secure, verifiable and robust services for storing data on the cloud.

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SOLUTIONS

  • Identifying three “nightmare” scenarios for potential users of cloud computing services:
    • Malicious users who would secretly install software in the cloud servers to mine the data from commercial users to sell to competitors
    • Bugs in the cloud software stack causes data deletion actions to fail silently leaving unintentionally uploaded, incriminating data in the cloud, despite “deletion” by the user
    • Low performance of upscaled, higher-end hardware installed to facilitate a growing number of users which I then prevents
  • Inventing broadly applicable concepts that address the above scenarios through:
    • Designing a secure cloud data storage system
    • Developing unique tools that advance the state-of-the-art for profiling and validating applications running on the cloud
    • Integrating new hardware storage technologies that improve overall performance for cloud storage
    • Devising techniques to predict the performance of a cloud application
    • Creating new mechanisms that allow cloud providers to augment their infrastructure seamlessly
  • Implementing all developed concepts as part of a comprehensive prototype which will encourage cloud providers to adopt similar concepts in their commercial offerings

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LINK: http://p3.snf.ch/project-136318

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The SRT-15 Research Project

Posted by www.cefims.eu on August 9, 2013   |   Comments Off

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SUMMARY

The objective of the SRT-15 research project is to bridge the gap between cloud infrastructures and enterprise services through building a distributed service platform. For that purpose, SRT-15 relies on four key enabling technologies which, combined, allow the SRT-15 platform to scale across public and private clouds and thus enable reliable and dynamic interaction between various enterprise applications.

The approach of SRT-15 will be verified by a large-scale proof of concept prototype driven by the industrial partners within the SRT-15 consortium.

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SOLUTIONS

  • Using cutting-edge technology and algorithms to connect, filter and aggregate data exchanged between users, services and applications in a flexible and timely manner
  • Integrating four key enabling technologies: content-based routing, complex event processing, dependability and data privacy.
  • Providing an open and re-usable abstraction for accessing the resources of different public and private cloud infrastructures, thus allowing for easier and more cost-effective adoption of the on-demand model
  • Validating and verifying the SRT-15 platform through testing use cases provided by the industrial partners to demonstrate the applicability of the SRT-15 contributions

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LINK: http://srt-15.unine.ch/

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VISION

Posted by www.cefims.eu on August 8, 2013   |   Comments Off

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SUMMARY

The goal of the VISION project is to advance the competitiveness of the EU economy and facilitate the convergence of ICT, media and telecommunications through developing a radically improved ICT infrastructure for reliable and effective delivery of data-intensive storage services.

SICS, the Swedish ICT research institute, will lead the work on computational storage in VISION. They will provide a solution for bringing computing to storage, enabling secure execution of computational tasks in close proximity to the relevant data, applicable both to user-driven computational tasks as well as autonomous data derivation and transformation.

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SOLUTIONS

  • Supporting the setup and deployment of data and storage services on demand, at competitive costs, across disparate administrative domains, providing Quality of Service and security guarantees
  • Radically extending earlier generations of service infrastructures
  • Developing a cloud-based infrastructure built on open standards and new technologies, capable of the optimised delivery of converged data-intensive services
  • Using objects with metadata to support effective access and management, enabling unprecedented scalability and simplification of storage services
  • Enabling comprehensive data migration and interoperability across remote locations, overcoming current limitations
  • Introducing a technology for specifying and executing computations close to storage, reducing overheads
  • Facilitating access to data by content and its relationships, relieving applications and users from the need to be aware of the underlying storage implementation

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LINK: https://www.sics.se/projects/vision-virtualized-storage-services-foundation-for-the-future-internet

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Big Data Analytics

Posted by www.cefims.eu on August 8, 2013   |   Comments Off

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SUMMARY

The exponential growth of Smart phones, cloud services, the Internet of Things, and the global coordination of industry via databases entails that the production of digital information in society is ever more rapidly growing. With the proper analytic tools, these new and expanding data streams can be tapped for valuable knowledge.

In the emerging field of Big Data Analytics, large quantities of heterogeneous data are extracted, collated, stored and analysed to uncover hidden patterns and unknown correlations. This information can improve critical processes in society as well as provide competitive advantages to companies. The Big Data Analytics research project aims to craft a new national research agenda in conjunction with participants from industry, the research community, and the public sector.

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SOLUTIONS

  • Examining industry needs, competences and possibilities in a technology domain that will have a large impact on Swedish competitiveness
  • Exploring competences in all areas related to Big Data Analytics from data collection and storage, computational frameworks, and advanced data analysis, to service platforms and business development
  • Analysing new data streams to optimise societal processes
  • Designing a Big Data Analytics framework where actors can exchange data from different sources without violating the privacy of others or revealing business critical information
  • Creating a Swedish ecosystem of Big Data stakeholders, laying the foundations for future cooperation

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LINK: https://www.sics.se/projects/big-data-analytics

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eXtraSpec

Posted by www.cefims.eu on August 8, 2013   |   Comments Off

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SUMMARY

The goal of this project is to aid HR divisions in seeking new staff with specific skill-sets and competencies, The project will develop a data-mining and analytics service which can locate, within the given parameters, from the web or from internal documents, an appropriate potential employee. The end-results will contribute to addressing information asymmetry in the labour-market.

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SOLUTIONS

  • Developing a standard [paradigm for describing the skills and professional experience of a (potential) employee

  • Modelling and composing a database of experts, based on data extracted from specific Polish Web sources

  • Producing a tool which enables end-users to search the database and navigate search results

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LINK: http://extraspec.kie.ue.poznan.pl/node/1

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Digital Oil

Posted by www.cefims.eu on August 8, 2013   |   Comments Off

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SUMMARY

Oil and gas operations are increasingly dependent on an extensive network of sensors for measurement and the logging of relevant parameters such as pressure, temperature, water and sand detection. The increasingly pronounced trend in Norwegian Continental Shelf operations is towards unmanned subsea installations distributed in a network on the seabed makes sensor-based information not only useful but absolutely necessary.

The Digital oil (Doil) project addresses the challenging research issue and pressing, practical concern of utilising ICT to process and manage the vast amounts of heterogeneous data generated by subsea, wireless sensor-based operations. Doil will conduct its research in collaboration with a full array of industry and research partners.

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SOLUTIONS

  • Improving the efficiency and extending the scope of wireless, sensor-based, subsea oil and gas operations
  • Producing tactics for trusting sensor-based information
  • Identifying user-driven heuristics for generating overviews of the well life-cycle
  • Developing a a demonstrator for situated searches of the full well life-cycle
  • Collaborating with a comprehensive international network of oil and gas companies, fuel service firms and ICT vendors

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LINK: http://www.forskningsradet.no/servlet/Satellite?c=Prosjekt&cid=1253970547286&pagename=verdikt/Hovedsidemal&p=1226993814962

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Secure Data Storage and Sharing in Big-data Cloud

Posted by www.cefims.eu on August 8, 2013   |   Comments Off

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SUMMARY

Cloud Computing is becoming an increasingly popular platform for high-performance computing, supplanting large High Performance Computing (HPC) clusters and supercomputing centres. Nevertheless, some scientific applications still require special architectures available only in supercomputers.

This project aims to bridge the gap between HPC and Cloud Computing by merging Cloud Computing’s elasticity and easy resource allocation with supercomputing ‘s processing power. The scientific analysis of Big Data is one area which could benefit from such a development. The project will utilise interdisciplinary technology and methods to meet various challenges arising from this objective such as the security and privacy of the stored data, the efficiency of the processing algorithms, and the management of the infrastructure.

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SOLUTIONS

  • Combining Cloud Computing’s elasticity and efficient resource allocation with supercomputing ‘s processing power to create secure and efficient Big Data storage
  • Producing secure and efficient storage and sharing schemes for Big-data cloud-computing activities through the application of interdisciplinary technologies and methodologies such as cryptology and trusted computing

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LINK: http://www.forskningsradet.no/servlet/Satellite?c=Prosjekt&cid=1253987157734&pagename=verdikt/Hovedsidemal&p=1226993814962

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WeSearch: Language Technology for the Web

Posted by www.cefims.eu on August 8, 2013   |   Comments Off

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SUMMARY

The aim of this project is to enable next-generation web services within the expanding internet space of social networking. Specifically, as social networking is is driven by User-Generated Content (UGC), the project team wishes to develop a semantic parsing technology which will allow IT systems to ‘make sense’ of the human language-based UGC. The project will design solutions to challenges arising in implementing large-scale semantic parsing technology.

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SOLUTIONS

  • Developing a large-scale semantic parsing technology which can convert the human language of UGC into formal representations of meaning
  • Overcoming the challenges of scalability, robustness and precision which are inhibiting the development of large-scale semantic parsing technology
  • Defining adequate, application-independent, output representations for semantic parsing – ie: developing a linguistic Application Programming Interface (API)
  • Showcasing project results through a novel web service consisting of a search interface based on semantic relations between concepts applied to a large selection of diverse Web content from the domain of information technology

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LINK: http://www.mn.uio.no/ifi/english/research/projects/wesearch/

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Direct Visualisation in the Cloud

Posted by www.cefims.eu on August 8, 2013   |   Comments Off

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SUMMARY

As cloud computing expands, methods for representing and visualising cloud-based data have become more important. The Direct Visualisation in the Cloud project will develop techniques for the high-quality, interactive visualisation of large models on workstations and web-based clients.

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SOLUTIONS

  • Developing methods to visually present large-scale, cloud-based data
  • Producing direct visualisations of information in a naturally compact form
  • Utilising heterogeneous computers to provide low-cost processing
  • Enabling web-based clients to interactively visualize high quality, cloud-based simulation results

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LINK: http://www.forskningsradet.no/servlet/Satellite?c=Prosjekt&cid=1253960222031&pagename=verdikt/Hovedsidemal&p=1226993814962

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Smart City

Posted by www.cefims.eu on August 8, 2013   |   Comments Off

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SUMMARY

The Smart City project aims to create a dynamic ecosystem in which administrators, companies, citizens and research institutions jointly produce comprehensive, innovative and impactful services. The project seeks to assist the various interest groups to arrive at optimum, ICT-integrated solutions to the problems arising from city life through balancing collective and individual interests. The smart use of Big Data will enable the development of tangible solutions from a systematic overview. The project comprises a number of varied, multi-disciplinary sub-projects within the domain of research

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SOLUTIONS

  • Producing an model for strategic urban planning:
    • Designing a calculation model for interactive planning which comprises of leading-edge software and TNO expertise
    • Composing realistic simulations using precise data such as up-to-date digital maps, traffic flows and demographic data
    • Calculating the affect of modifying a variable such as the width of a road on a whole list of different criteria such as traffic intensity, air quality, noise pollution and external security
  • Developing a psychological model that describes the factors that influence self-reliance amongst citizens:
    • Identifying a range of interventions which can boost self-reliance through altering individual and social factors
    • Pilot-testing prototype solutions
  • Enabling municipal authorities to manipulate and exploit Big Data generated by social media
    • Localising Twitter messages on a large scale, collecting and collating the most reliable and useful messages
    • Investigating the power of online social influence from micro, macro and reflective perspectives

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LINK: http://www.tno.nl/content.cfm?context=uitgelicht&content=uitgelicht_content&laag1=1275&item_id=1275

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MARLON

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

Logbooks are important repositories of information for mariners. However, compiling logs can be a tedious and logistically cumbersome task for busy mariners.

The MARLON project aims to develop an automated system for logbook compiling on marine vessels. The project will design an electronic solution whereby a significant portion of the required data is logged automatically, in virtual communication with the vessel’s state. The logkeeping application will be developed for the iPad, but MARLON’s results will also be transferable to other platforms.

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SOLUTIONS

  • Developing an automated logkeeping system where the logbook is automatically updated through wireless communication with a sensor network
  • Integrating sensor instruments to data logging modules
  • Launching an online community website to support the future of digital logkeeping

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LINK: http://www.mcst.gov.mt/national-funding/ri-programme/funded-ri-projects/ri-2011-018-marine-logging-notebook-marlon

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DYNAMO

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

Intelligent data processing is becoming more and more important in improving the quality of healthcare and enhancing health data exploitation. To this end, Knowledge Organizing Systems (KOS) such as thesauri, ontologies and taxonomies have become vital in integrating, exporting, and retrieving data as well as ensuring semantic interoperability between various systems

The main objective of the DynaMO project consists is to define a new formal framework for managing medical KOS evolution and for establishing and maintaining relations between different, heterogeneous KOSs.

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SOLUTIONS

  • Establishing relations (mappings) between different KOSs in order to increase domain coverage and define correlations between data annotated with the given vocabulary
  • Understanding domain evolution phenomena and how they impact on KOS models and mappings
  • Characterising domain evolution with respect to medical KOS specificities
  • Formalising KOS evolution and mappings maintenance processes
  • developing suitable tools to manage the evolution of heterogeneous KOS.

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LINK: http://www.santec.lu/project/dynamo

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Ubiquitous Internet

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

Ubiquitous Networks is a research group of the CNR’s Institute for Informatics and Telematics. The group focuses its research on developing advanced solutions for networking and data management in ubiquitous networks. Specifically, the group’s research is focused on ubiquitous networks of heterogeneous components such as networks consisting of user devices alone and environmentally dispersed sensor networks.

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SOLUTIONS

  • Measuring internet-connected object’s tag readings for document localisation
  • Developing Collective Awareness Platforms for sustainability and social innovation
  • Improving the reliability of data delivery for Wireless Sensor Networks
  • Designing and evaluating a BitTorrent proxy for energy saving
  • Modelling inter-contact times in human social pervasive networks

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LINK: www.iit.cnr.it/en/research_fields/ubiquitous_internet

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Web of Data

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

Web of Data is a research activity of the CNR’s Institue of Informatics and Telematics focusing on the areas of linked data and big data. Web of Data’s goal is to extend the Web with a data commons by publishing various open datasets such as RDF on the Web and by setting RDF links between data items from different data sources and to find solutions to the Big Data challenges such as the capture, storage, search, sharing, analysis, and visualization of heterogeneous information.

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SOLUTIONS

  • Building a common collaborative, information sharing platform for the detection and prevention of organised crime through exploiting Open Source Intelligence
  • Developing a wiki Framework for cooperatively building multilingual language resources
  • Providing industries in the tourism sector a range of technologies for the recognition, classification and sentiment analysis of entities of interest such as hotels, restaurants, pubs etc

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LINK: http://www.iit.cnr.it/en/research_activities/web-data

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Real Time, Location-Based Survey Application for Smartphones

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

This project aims to develop a generic software application for smartphones that enables real time user positioning and data survey collection. The application can be controlled from a remote web interface and will automatically finds precise location of user and tracks changes. The software will enable an understanding and real-time assessment of where the user went, the order of and amount of time spent at each location, and the user’s level of satisfaction

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SOLUTIONS

  • Enabling companies to identify target markets and to provide improvements to products and services through user surveys

  • Collecting and collating data provided by smartphone users and processing it in real time.
  • Combining sensors and media information such as location, accelerometer, pictures and voice in data surveys
  • Presenting survey data in real time.

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LINK: http://www.yissum.co.il/technologies/project/10-2013-2888

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Route Search over Probabilistic Geospatial Data

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

In recent years, systems that provide access to geographic information through a mobile phone or in a car-navigation unit have become common. Typically, these systems are a platform for Location-Based Services (LBS) such as location-aware search and point-to-point navigation. However, current geospatial search technologies are not flexible enough to deal with imprecise queries, such as “an Italian restaurant” or with time-dependent, variable information such as traffic data, parking availability and hazard alerts . Moreover, current technologies offer only rigid point-to-point route search and lack the ability to introduce a route that changes with response to the user’s feedback.

This project’s aim is to meet the challenges arising from the proliferation of Location-Based Services . The project team will develop a novel technology which will allow a sophisticated combination of quick location search and multi-points route search. The technology will be incorporated into an application which will enhance location-based systems by allowing more flexible route planning, easier integration of real-time data from multiple sources and interactive route search.

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SOLUTIONS

  • Developing a more accurate navigation tool for LBS end-users

  • Integrating of location-related data in real-time

  • Conducting of user interactive route search

  • Reducing implementation costs for service providers and increasing revenue from commercial promotions.

  • Imbuing the application with efficiency and scalability in order to resolve queries immediately over large amounts of data

  • Enabling the processing and integration heterogeneous data from multiple sources, such as flower store location from yellow pages, and traffic data from a news website

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LINK: http://www.yissum.co.il/technologies/project/10-2009-2331

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Database and Web Research

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

The database group of Hebrew University is involved in research projects of both theoretical and practical natures which are geared towards three goals:

  1.  Making Databases User Friendly
  2.  New Methods for User Interaction with the Web
  3.  Incorporating Uncertainties into Databases:

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SOLUTIONS

  • Developing solutions that will allow greater user friendliness in databases such as:

    • Designing a query-formulation aid

    • Incorporating preferences into queries

    • Providing tools for data exploration

    • Devising methods to effectively summarize and explain results

  • Developing and evaluating new methods for user interaction with databases

  • Dealing with uncertain data in an effective and systematic manner through:

    • Modelling of uncertain or probabilistic data

    • Designing more robust semantics for querying

    • Creating efficient query-evaluation algorithms

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LINK: http://www.cs.huji.ac.il/site//labs/databases/home.html

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National Digital Learning Resource

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

The objective of the HEA-funded Irish National Digital Learning Resources (NDLR) service is to support the sharing of digital learning resources and associated practices among the Irish academic community.

This is portal encourages the use, reuse and sharing of digital education resources and associated practices. The ethos of the service is that the sharing of resources, experience and information can contribute to raising awareness of best practice in teaching and learning and potentially improve efficiencies in the preparation of material by reusing and repurposing existing learning content. The service is free and supports an open online community which enables the development and sharing of digital learning resources between all Irish third level institutions.

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SOLUTIONS

  • Supporting individual, group and community HE sector staff in the sharing of digital learning resources and associated teaching practices through a community web-portal
  • Facilitating open access to digital learning resources via use of the repository for storage, search and retrieval facilities
  • Promoting the exchange of ideas and experiences and collaboration across the Higher Education sector through network communities of practice, events, and training sessions.

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LINK: http://www.ndlr.ie

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SZTAKI Cloud

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

The SZTAKI project’s aim is to investigate the utility of clouds as distributed computing systems and, subsequently, to develop and deploy a new cloud infrastructure based on the results of the initial research. The new cloud based infrastructure will be significantly more effective and more cost efficient than the former infrastructure built on traditional conceptions and individual specific servers.

Specifically, the developed infrastructure will allow researchers to use scalable clusters established in the cloud to solve processor-intensive issues and will also contain a feature which automatically reallocates resources to under-resourced systems and services.

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SOLUTIONS

  • Researching the possibilities entailed by the dynamic extension of the Hadoop framework for the distributed processing of large data sets across clusters of computers using simple programming models
  • Investigating the dynamic resource extension of SZTAKI Dictionary
  • Resolving the asynchronous scale-out of a word processing system for unstructured information
  • Adapting the Hungarian Grid and Cloud User Support Environment to cloud and to make it scalable

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LINK: http://cloud.sztaki.hu/

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MunkaPad

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

This project aims to tackle challenges arising from the ever-changing nature of research-oriented software tools and services. The goal of the project is to develop a prototype universal e-science platform which can support the daily activities of researchers and creative workers.

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SOLUTIONS

  • Collecting and collating data on the use of research tools and services by Hungarian researchers

  • Developing a Linked Open Data (LOD) service containing the publication data of our institute and additionally descriptions of many cultural assets collected by the National Digital Archive

  • Designing a multi-faceted browser for data-set access

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LINK: http://www.sztaki.hu/research/projects/project_information/?uid=00327

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Collaborative Society

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

The Collaborative Society project seeks to organise a cooperative market for goods and services, through generating a standard database of information culled from smart device end-users. By furnishing co-operative firms with relevant information, entrepreneurs can more effectively meet the wants and needs of society.

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SOLUTIONS

  • Fostering a healthy, consumer-oriented industry
  • Cultivating an enlightened customer-base
  • Developing an efficient Collaborative Society

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LINK: http://humania.hu/HumaniaKapuja

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MoDisSense

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

MoDisSENSE seeks to enrich social networking services by utilizing the data generated by mobile smart devices and social network end-users in the creation of a socially-augmented search system.

The project will develop advanced search services based on combined heterogeneous data sources such as spatio-temporal location, social logs, profiles and user preferences. The research can then be applied to the production of a set of augmented social network applications which will allow a user to access location-based services tailored to their user profile. For example, the user might wish to find the cheapest, closest gas station which is also recommended / most-visited by friends and acquaintances.

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SOLUTIONS

  • Using “state of the art” techniques for the design and management of heterogeneous data collected from mobile terminals and social networking users
  • Utilising techniques of distributed storage, processing, search and spatio-temporal, multidimensional indexing
  • Producing a cost-effective and accessible socially-augemnted search system capable of handling loads, flows of information and complex questions and searches

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LINK: http://www.modissense.gr/

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Informed Real-Estate Services: Leveraging Web 2.0

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

RealEstate 2.0 aims to confront challenges arising as a result of Greece’s moribund real estate market. Successful real estate businesses must make use of advanced, evidence-based decision making. This project will plug a gap in the e-services market through developing technology which will assist professional or individual retailers in assessing the positive or negative location-related externalities of a particular property.

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SOLUTIONS

  • Providing advanced e-services for real estate professional and individual retailers such as Personalized access to Properties, Intelligent Property Analysis using location context and Real Estate Analytics over time.
  • Designing a generic infrastructure for harvesting, extracting, aggregating and curating contextual RE information from administrative, tourist or social media sites.
  • Creating a high-quality RE data pool for advanced RE business scenarios.

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LINK: http://www.imis.athena-innovation.gr/index.php?option=com_ipsyp&view=project&pid=23&lang=en

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THESEUS

Posted by www.cefims.eu on August 7, 2013   |   Comments Off

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SUMMARY

Under the THESEUS umbrella, some 60 research partners from academia and the business world have come together to develop new technologies and applications. Their goal is to facilitate access to information, to combine data to form new kinds of knowledge and to lay the groundwork for new services on the Internet.

The technologies being developed within the THESEUS program aim to prepare the way for a future Internet of Services. This will make it possible for services that are now available on the Web only separately, such as online shopping, flight bookings and research support, to be combined and linked with one another. A user could tell his computer: “I want to move from Berlin to Hamburg,” and the program would identify and coordinate the appropriate resources for finding housing, organizing the move and registering with the authorities.

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SOLUTIONS

  • Developing new semantic technologies that will be able to analyze, classify and link information based on content which can determine a datum’s significance, draw connections to other information, model it as a classification system and employ certain rules to draw logical conclusions.
  • Innovating knowledge management techniques
  • Digitalising cultural assets in the form of texts, images and audio and video recordings
  • Producing a platform that integrates resource planning and business process management while also making it easier to compare products, solutions and business partners
  • Improving the quality of medical diagnoses with the help of imaging procedures
  • Designing innovative approaches and technologies for organizing digital information, on both the Internet and company intranets

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LINK: http://theseus.pt-dlr.de/en/about.php

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GANG: Networks, Graphs and Algorithms

Posted by www.cefims.eu on August 6, 2013   |   Comments Off

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SUMMARY

The GANG project focuses on the design of algorithms for large scale networks, making use of the structural properties of the networks themselves. The project’s solutions can be applied to the development of optimized protocols for large dynamic networks such as mobile networks, for overlay web-networks such as peer-to-peer applications, and for the navigability of social networks. GANG makes use of recent advances in the field of graph algorithms, both in centralized and distributed settings, in its development process.

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SOLUTIONS

  • Enabling massive, distributed data storage
  • Providing efficient decentralised information retrieval
  • Combining approaches from graph theory with theories of formal languages ​​and logic.

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LINK: http://gang.inria.fr/

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Data Integration and Mining

Posted by www.cefims.eu on August 6, 2013   |   Comments Off

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SUMMARY

With new forms of information production, the increase in available data grows at an ever increasing exponential rate. As a result, multi-source data has become increasingly popular in a research context and has had a strong impact on database development and compilation. As data quantities derived from internet-connect objects grows more massive, spatio-temporal data has become more important. As a result, problems arise in terms of the space-time semantics of the data models and need to integrate specific techniques for data-processing.

In this context, the Data Integration and Mining team is interested in the problems of multi-source data access and data mining of data from the web or from temporal (RSS, sensors) or spatiotemporal (moving objects) flows. The team’s research interests range from logical models, languages and algorithms in databases and data mining, to physical data access optimizations.

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SOLUTIONS

 

  • Developing an algebraic model for imperfect and multi-granualar data and knowledge integration, incorporating space-time semantics
  • Constructing a data model and query language is expressive and contains continuous spatio-temporal qualities
  • Creating specialized access methods, algorithms, query evaluation and optimised architecture designs which are robust with respect to flows and capable of identifying new problems, adapting to operators and
  • Developing approaches and algorithms for discovering temporal and spatiotemporal patterns, evaluation and optimization of data processing

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LINK: http://www.prism.uvsq.fr/index.php?option=com_content&view=article&id=64&Itemid=164

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Coeur de Filiére Numerique

Posted by www.cefims.eu on August 6, 2013   |   Comments Off

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SUMMARY

“Coeur de filiére numerique” is an initiative launched in April, 2013 by the French Ministry of Crafts, Commerce and Tourism under the new guidelines of the Future Investment Programme. The initiative, funded to the tune of €150 million by the ministry, sets out to support and develop four key technologies: embedded software and connected objects, the security of information, supercomputing and simulation systems, and cloud computing and Big Data.

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SOLUTIONS

  • Funding research and development in four key areas with many applications:
    • Transport and mobility
    • Health
    • Digital cities
    • Logistics and distribution
    • Robotics
    • Energy
    • Automation and industrial processes
  • Creating a new innovation ecosystem structured around key technological developments and applications

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LINK: http://www.entreprises.gouv.fr/secteurs-professionnels/coeur-filiere-du-numerique

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Data to Intelligence (Tivit)

Posted by www.cefims.eu on August 6, 2013   |   Comments Off

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SUMMARY


The Data To Intelligence (D2I) project is focused on big data, data reserves and user-centric service development. The aim of the project is to develop intelligent tools and methods for managing, refining and utilizing diverse data in order to enable the development of innovative business solutions.
As a result, Finnish enterprise can gain a competitive advantage through intelligent (context-sensitive, personalized, proactive) data processing technologies and services that add measurable value.

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SOLUTIONS

  • Developing new, data-intensive services improving productivity, cost effectiveness, comfort or knowledge.
  • Creating new data-driven business and earning models.
  • Identifying interoperability opportunities enabled by modern key technologies.
  • Designing, implementing and testing user-centric automated services utilizing big data analytics.
  • Building re-usable, technology-free service modules and technological components.
  • Developing methods for big data analytics that handle complexity through fusion of heterogeneous data sources, and use adaptivity, context-sensitivity, scalability, and user relevance as the main methodological objectives.
  • Creating common (open) frameworks for intelligent data processing methods.

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LINK: http://www.datatointelligence.fi/

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BioMedIT

Posted by www.cefims.eu on August 6, 2013   |   Comments Off

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SUMMARY

The goal of the BioMedIT project is to explore emerging data management and data analysis methods and tools and their role in the research, development and innovation value chain from their basic scientific research capacity to their potential applications.

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SOLUTIONS

  • Applying “big data”, data mining, machine learning, and pattern detection to the domains of Biotechnology, medicine and neuroscience research
  • Evaluating the role of data management and analysis from research conception to end-user

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LINK: https://www.etis.ee/portaal/projektiAndmed.aspx?DropDownListAreaOfStudy=4&IsDetailSearch=True&DropDownListFinanceProgramCode=0&DropDownListProjectStatus=1&CheckBoxExactSearch=False&VID=8ffd3807-4ba0-4b23-adab-a076c335c603&DropDownListSpeciality=6&lang=en&FromUrl0=projektiInfo.aspx

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