Linked Open Data -- Creating Knowledge Out of Interlinked Data : Results of the LOD2 Project

Linked Open Data -- Creating Knowledge Out of Interlinked Data : Results of the LOD2 Project

Author
Sören Auer, Volha Bryl, Sebastian Tramp
Publication Year
2014
Publisher
Springer
Language
English
Document Type
Book
Faculty / Subject Heading
Computer Science

Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea.


Keywords: Computer science / Dbpedia / LOD / RDF / SpARQL / Data authoring / Data enrichment / Data exploration / Data extraction / Data integration / Data interlinking / Data management systems / Data quality / Data visualization / Information systems / Knowledge fusion / Large-scale RDF data management / Linked data for mdeia publishing / Linked enterprise data / Linked open data / Linked open data applications / Open government data / Resource description framework / Semantic Web / Database Management / Artificial intelligence / Information Systems and Communication Service