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Linked open data, creating knowledge out of interlinked data / Sören Auer (2014)    

Public Titre : Linked open data, creating knowledge out of interlinked data : results of the LOD2 project Type de document : Monographie Auteurs : Sören Auer, Auteur ; Volha Bryl, Auteur ; Sebastian Tramp, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 8661 Importance : 214 p. ISBN/ISSN/EAN : 978-3-319-09846-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Société de l'information [Termes IGN] base de données [Termes IGN] données ouvertes [Termes IGN] gestion des connaissances (organisation) [Termes IGN] intelligence artificielle [Termes IGN] système d'information [Termes IGN] visualisation de données [Termes IGN] web des données Index. décimale : 18.30 Société de l'information Résumé : (Auteur) 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. Note de contenu : 1. Introduction to LOD2 / Sören Auer TECHNOLOGY 2. Advances in Large-Scale RDF Data Management / Peter Boncz, Orri Erling, and Minh-Duc Pham 3. Knowledge Base Creation, Enrichment and Repair / Sebastian Hellmann, Volha Bryl, Lorenz Bühmann, Milan Dojchinovski, Dimitris Kontokostas, Jens Lehmann, Uroš Milošević, Petar Petrovski, Vojtěch Svátek, Mladen Stanojević, and Ondřej Zamazal 4. Interlinking and Knowledge Fusion / Volha Bryl, Christian Bizer, Robert Isele, Mateja Verlic, Soon Gill Hong, Sammy Jang, Mun Yong Yi, and Key-Sun Choi 5. Facilitating the Exploration and Visualization of Linked Data / Christian Mader, Michael Martin, and Claus Stadler 6. Supporting the Linked Data Life Cycle Using an Integrated Tool Stack / Bert Van Nuffelen, Valentina Janev, Michael Martin, Vuk Mijovic, and Sebastian Tramp USE CASES 7. LOD2 for Media and Publishing / Christian Dirschl, Tassilo Pellegrini, Helmut Nagy, Katja Eck, Bert Van Nuffelen, and Ivan Ermilov 8. Building Enterprise Ready Applications Using Linked Open Data / Amar-Djalil Mezaour, Bert Van Nuffelen, and Christian Blaschke 9. Lifting Open Data Portals to the Data Web / Sander van der Waal, Krzysztof Węcel, Ivan Ermilov, Valentina Janev, Uroš Milošević, and Mark Wainwright 10. Linked Open Data for Public Procurement./ Vojtěch Svátek, Jindřich Mynarz, Krzysztof Węcel, Jakub Klímek, Tomáš Knap, and Martin Nečaský Numéro de notice : 22737 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Recueil / ouvrage collectif En ligne : http://www.doabooks.org/doab?func=search&uiLanguage=en&template=&query=Linked+Op [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85650

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en open access 22737_Linked open data. Adobe Acrobat PDF