Project description
Intelligent information management
Creating Knowledge out of Interlinked Data
- Research and development of novel, innovative Sematic Data Web technologies.
- Expansion and integration of openly accessible and interlinked data on the web.
- Adoption and implementation of Linked Data for media, enterprise and government.
LOD2 will integrate and syndicate linked data with large-scale, existing applications and showcase the benefits in the three application scenarios. The resulting tools, methods and data sets have the potential to change the Web as we know it today.
Over the last 3 years, the semantic web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of intelligent information management: the exploitation of the Web as a platform for data and information integration in addition to document search. To translate this initial success into a world-scale disruptive reality, encompassing the Web 2.0 world and enterprise data alike, the following research challenges need to be addressed: improve coherence and quality of data published on the Web, close the performance gap between relational and RDF data management, establish trust on the Linked Data Web and generally lower the entrance barrier for data publishers and users. With partners among those who initiated and strongly supported the Linked Open Data initiative, the LOD2 project aims at tackling these challenges by developing:1. enterprise-ready tools and methodologies for exposing and managing very large amounts of structured information on the Data Web,2. a testbed and bootstrap network of high-quality multi-domain, multi-lingual ontologies from sources such as Wikipedia and OpenStreetMap.3. machine learning algorithms for automatically enriching, repairing, interlinking and fusing data from the Web.4. standards and methods for reliably tracking provenance, ensuring privacy and data security as well as for assessing the quality of information.5. adaptive tools for searching, browsing, and authoring of Linked Data.We will integrate and syndicate linked data with large-scale, existing applications and showcase the benefits in the three application scenarios media & publishing, corporate data intranets and e-government.
Fields of science
- natural sciencescomputer and information sciencesknowledge engineeringontology
- natural sciencescomputer and information sciencescomputer securitydata protection
- social sciencespolitical sciencesgovernment systemse-governance
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencescomputer and information sciencesinternetsemantic web
Call for proposal
FP7-ICT-2009-5
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Funding Scheme
CP - Collaborative project (generic)Coordinator Contact
Coordinator
04109 Leipzig
Germany
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Participants (16)
1070 Wien
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3000 Leuven
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130 67 Praha 3
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50354 Koln
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14195 Berlin
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68161 Mannheim
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78140 Velizy Villacoublay
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75008 PARIS
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H91 Galway
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305 701 DAEJEON
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1098XG AMSTERDAM
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61-612 POZNAN
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11060 Beograd
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1110 Ljubljana
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EC2A 4NE London
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CR0 0XZ CROYDON
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