Coordinating European Future Internet Research

semantic web

Development of Semantic Web information infrastructure and deductive mechanisms

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

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SUMMARY

The project is aimed at developing segments of a Semantic Web information infrastructure and its deductive mechanisms. The Semantic Web represents a set of a broad array of distributed Web services ranging from structurally simplest ones, such as those for intelligent information search, to most complex ones, such as e-business services, which include intelligent autonomous agents as business entities, ontologies as the information basis (including business rules systems structured as ontologies) and deductive mechanisms that enable agent autonomy and intelligence as well as intelligent and purposeful behaviour of the system as a whole. In particular, within the project specific ontologies relevant for the Croatian academic community are investigated.

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SOLUTIONS

  • Investigating specific ontologies for the Croatian academic community
  • Developing prototypes for a semantic web information infrastructure

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LINK:http://www.foi.unizg.hr/eng/research/National-scientific-projects#

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Trendminer

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

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SUMMARY

The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has lead to challenges of how to access and interpret these strongly multilingual data, in a timely, efficient, and affordable manner. Technically, streaming online media pose new challenges, due to their shorter, noisier, and more colloquial nature. Moreover, they form a temporal stream strongly grounded in events and context. Consequently, existing language technologies fall short on accuracy, scalability and portability.

The goal of this project is to deliver innovative, portable open-source real-time methods for cross-lingual mining and summarisation of large-scale stream media. TrendMiner will achieve this through an inter-disciplinary approach, combining deep linguistic methods from text processing, knowledge-based reasoning from web science, machine learning, economics, and political science. No expensive human annotated data will be required due to our use of time-series data (e.g. financial markets, political polls) as a proxy. The project’s results will be generic with many business applications: business intelligence, customer relations management, community support.

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SOLUTIONS

  • Developing a scalable, affordable cloud-based infrastructure for real-time text mining from stream media
  • Designing weakly supervised machine learning algorithms for automatic discovery of new trends and correlations.
  • Validating results in two high-profile case studies: financial decision support and political analysis and monitoring
  • Enabling enhanced access to government data archives, summation of online health information, and tracking of hot societal issues

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LINK: http://www.trendminer-project.eu

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SmartSociety

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

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SUMMARY

Society is progressively moving towards a socio-technical ecosystem in which the physical and virtual dimensions of life are more and more intertwined and where people interaction often takes place with or mediated by machines. The scale at which this is happening and the differences in culture, language and interests makes the problem of establishing effective communication and coordinated action increasingly challenging.

So far, attention has been mainly devoted to collective adaptive systems (CAS) that provide or impose some form of harmonization or lightweight coordination of meaning and actions where machines do most of the computation and humans are at the periphery and only act as consumers. In these settings, collectives are generally homogeneous and are orchestrated to achieve a common global goal where knowledge adaptation only takes place locally to a single unit.

The SmartSocity project’s goal is to move towards a hybrid system where people and machines work in tandem to build a smarter society. The project envisions a new generation of CAS centred on the two foundational notions of compositionality and diversity.

To meet this ambitious goal these, the new new CAS will be hybrid, distributed, open and large scale where multitudes of heterogeneous peers producing and handling massive amounts of data can join/leave dynamically following unpredictable patterns with no central coordination and interoperating at different spatial and temporal scales.

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SOLUTIONS

  • Building the next generation of collective adaptive systems (CASs) where humans and machines work synergetically
  • Bridging the semantic gap between man and machine
  • Implementing a continuous, unlimited cycle within the CASs in which data is sensed, interpreted, shared, elaborated and acted upon
  • Identifying the right incentive schemes and privacy levels for CASs so that they can assist humans in their everyday activities, cope with the diversity of the world in terms of language, knowledge and personal experience and work with possibly imperfect information.

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LINK: http://groups.inf.ed.ac.uk/smart-society/index.php

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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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Automatic Web Data Collection

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

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SUMMARY

Web-based data collection is becoming increasingly important in many social science fields. However, a scientific methodology for Web-based data collection has not yet been developed. The guideline components of such a methodology have been identified but, so far, they have only been expressed in natural language and are not yet semantically compliant with automated data extraction software.

In order to resolve this problem, the project team proposes to develop models and techniques to express Web-based data collection guidelines, rules and policies at different levels of abstraction. The finalised results will be realised in a suitable application.

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SOLUTIONS

  • Developing new techniques for automatic data extraction from the Web which rely on Semantic Web technologies and automatic reasoning to plan actions compliant with the guidelines
  • Implementing a demonstrative tool able to use the above mentioned technologies for Web-based data collection

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LINK: http://www.usi.ch/en/ricerca/research_dettaglio_progetto?id=678

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Algorithmic Selection on the Internet

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

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SUMMARY

Algorithmic selection of information constitutes the common technological and functional core of various Internet services such as news aggregators, search engines, recommender systems, computational advertising and reputation systems. These applications automatically assess the relevance of web documents, choose the most important news articles, recommend books, songs or movies, display personalised advertising and determine the reputation of companies and scholars.

Nevertheless, a comprehensive and systematic analysis of algorithmic selection as the core of various applications/services and its societal implications is still lacking. This research project seeks to close this research gap through developing a comparative, overall view and thus establishing the basis for further research.

The project is designed as a technology assessment study and is conducted in three, successive modules. The first module focuses on determining, categorising and delineating the Internet applications that are based on algorithmic selection. The second module sheds light on algorithmic selection’s economic implications by way of comparative analyses of market structures and business models. The third module assesses the risks of algorithmic selection and investigates whether there is a need for regulation and what kind of governance options are available.

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SOLUTIONS

  • Examining the various applications of algorithmic selection as a central structuring innovation of Internet development
  • Showing the technological, economic and political/regulatory characteristics and effects of new Internet services based on algorithmic selection
  • Analysing possible generalisations arising from the phenomenon of algorithmic selection and the likely consequences for politics, the economy and communication research
  • Sourcing evidence and data from systematic literature reviews, empirical case – and market- structure analysis and governance approaches

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LINK: http://p3.snf.ch/project-137709

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Printed Electronics Meets Mobile Devices

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

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SUMMARY

The progress of Information Society 3.0 entails that new new communication solutions must arise to meet the challenges of collecting and processing information gathered from Smart objects or Things in our surroundings.

Ericsson has developed touch-based interaction and QR code for fast internet connection for mobile devices. This project aims to further develop these communication solutions by combining them with printed smart tags and sensors thereby contributing to the growth of the increasingly vital Internet of Things.

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SOLUTIONS

  • Designing techniques for the smart labelling of food, building materials or drugs to enable the reading of the history, quality, and environmental impacts of the product with a mobile Smart device
  • Enabling the massive extraction of environmental data with through intelligent, public one-use sensors read by mobile Smart devices.
  • Validating and verifying the end-results in collaboration with industry partners

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LINK: http://www.vinnova.se/sv/Resultat/Projekt/Effekta/Nya-plattformar-for-kommunikation-mellan-mobiltelefon-och-tryckta-smarta-etiketter/

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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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Ego: Virtual Identity

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

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SUMMARY

The Ego project aims to provide tools for people to create their own online virtual identities which automatically communicate their information and content needs and preferences to relevant Web sources. The project will integrate advances in the fields of user modelling and identity management to create an evolving, complex user model. Ultimately, the results of this project will enhance user interaction with the web.

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KEY OUTPUTS/RESULTS

  • Creating a virtual identity builder which enhances and automatises content-retrieval for internet end-users

  • Integrating user modelling and identity management technologies in one platform

  • Facilitate automatic and manual revision and updating of a user’s profile

  • Including privacy, trust and information-safeguarding features

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LINK: http://hal.kie.ae.poznan.pl/stronas/en/project/ego-%E2%80%93-virtual-identity

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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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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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ESCAPE

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

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SUMMARY

ESCAPE is a project which seeks to develop data mining techniques for use in analysing and exploiting finance data. The research involves the exploration of financial text news through Machine Learning and Text Mining techniques as well as the analysis of the incidents concerning the evolving sovereign debt crisis in Europe. The project makes use of Thomson Reuters finance data.

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SOLUTIONS

  • Using big data to analyse the contagion effects of the European sovereign debt crisis
  • Developing topic finding techniques for financial text news with content ageing theory
  • Designing sentiment classification of financial news items through multiple perspectives

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LINK: http://wiki.uni.lu/mine/ESCAPE.html

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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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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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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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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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FIT-IT Programme

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

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SUMMARY

FIT-IT is an Austrian research programme that focuses on high-quality research in the area of information and communication technology. Currently, there are five programme lines: “embedded systems”, “semantic systems and services”, “systems-on-chip”, “trust in IT-systems” and “visual computing”. The programme receives over €15 million funding from the Austrian government every year.

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SOLUTIONS

 

  • Embedded systems:
    • Developing Rapid prototyping (with “hardware in the loop”) and formal verification and design validation processes
    • Integrating input-output streams for sensor-actuator technologies
    • Creating capacities for interoperability and dynamic reconfiguration within systems
    • Managing scarce resources
  • Semantic systems:
    • Simplifying conditions for human-computer interaction
    • Designing a a simplified co-complex web-based service which connects syntactically and semantically similar elements in different information systems to allow for superior data content
  • Systems on chip:
    • Investigating Sub-micron Technology and mixed analog and digital systems
    • Managing the complexity in design and design methodology
    • Assuring quality from design to system
  • Trust in IT:
    • Designing secure network protocols and operating systems from the ground up, improving on current ad-hoc security systems
    • Developing new cryptology methods
    • Creating technologies for privacy and identity management, especially in the area of mobile communication applications

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LINK: http://www.fit-it.at/english/index.html

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Sematic Monitoring of the Cyberspace

Posted by www.cefims.eu on January 5, 2011   |   No Comments

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SUMMARY

Public and private enterprises and service-providers continuously analyse their environment in search of threats and risks to their business model, work practices and customer-base. Many such threats manifest themselves on the internet – on forums, blogs and portals.

This project aims to help rectify the scarcity of security tools available to sift through vast amounts of web documents and detect risks or threats to a given service-provider or enterprise. The project team will develop a prototype method to automatically web-based threats. 

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SOLUTIONS

  • Developing a method and prototype of a security system for integrating data and semi-structured information on security threats from various sources on the Web.

  • Increasing the availability of security tools providing protection from web-based threats to public and entities

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LINK: http://smc.kie.ue.poznan.pl

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Mindenki

Posted by www.cefims.eu on January 2, 2011   |   No Comments

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SUMMARY

The Mindinki project aims to develop a Relevancy Network based on web 3.0 semantic technology which will allow internet users to develop a digital personality which can connect them to person-specific content. The Relevancy Network is an organic system, permanently moulded by its end-users, in which knowledge, gained from interaction is communicated in a manner analogous to the human nervous system. End-users will not have to search out content. Content will, instead, search out them.

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SOLUTIONS

  • Providing universal open access to person-specific content
  • Creating a significance based cross-reference network between contents by means of user-content interaction
  • Connecting Long Tail, user-specific content within an integrated cross-reference system.

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LINK: www.mindenki.hu

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