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Prof. Bizer » Prof. Bizer » News » New EU project LOD2



New EU-FP7-funded Research Project LOD2

08/31/2010
 

We are happy to announce the start of the EU-FP7 funded IP-project LOD2 - Creating Knowledge out of Interlinked Data.

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.

Within the LOD2 project, the Web-based Systems Group at Freie Universität Berlin will do research in the areas of web-based data integration, identity resolution, information extraction, and information quality assessment.

More information about the project is found at



 

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