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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Auer, Sören (Επιμελητής έκδοσης), Bryl, Volha (Επιμελητής έκδοσης), Tramp, Sebastian (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Lecture Notes in Computer Science, 8661
• Θέματα: Computer science.; Computers.; Database management.; Artificial intelligence.; Computer Science.; Database Management.; Artificial Intelligence (incl. Robotics).; Information Systems and Communication Service.
• Φυσική περιγραφή: VII, 215 p. 73 illus. online resource.
• ISBN: 9783319098463
• ISSN: 0302-9743 ;
• Πρόσβαση: Open Access

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. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.