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Linked Open Data -- Creating Knowledge Out of Interlinked Data [electronic resource] : Results of the LOD2 Project / edited by S�oren Auer, Volha Bryl, Sebastian Tramp.

Contributor(s): Auer, S�oren [editor.] | Bryl, Volha [editor.] | Tramp, Sebastian [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 8661Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: VII, 215 p. 73 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319098463.Subject(s): Computer science | Computers | Database management | Artificial intelligence | Computer Science | Database Management | Artificial Intelligence (incl. Robotics) | Information Systems and Communication ServiceAdditional physical formats: Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online
Contents:
Introduction to LOD2, S�oren Auer -- Advances in Large-scale RDF Data -- Knowledge Base Creation, Enrichment and Repair -- Interlinking and Knowledge Fusion -- Facilitating the Exploration and Visualization of Linked Data -- Supporting the Linked Data life cycle using an integrated tool stack -- LOD2 for Media and Publishing -- Building Enterprise Ready Applications Using Linked Open Data -- Lifting Open Data Portals to the Data Web -- Linked Open Data for Public Procurement.
In: Springer eBooksSummary: 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.
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Introduction to LOD2, S�oren Auer -- Advances in Large-scale RDF Data -- Knowledge Base Creation, Enrichment and Repair -- Interlinking and Knowledge Fusion -- Facilitating the Exploration and Visualization of Linked Data -- Supporting the Linked Data life cycle using an integrated tool stack -- LOD2 for Media and Publishing -- Building Enterprise Ready Applications Using Linked Open Data -- Lifting Open Data Portals to the Data Web -- Linked Open Data for Public Procurement.

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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.

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