Provides an overview on some key aspects of the emerging field of Linked Data
Describes a diverse number of research, technology and application advances and refers the reader to further detailed technical information in the project deliverables and original publications
Includes use cases, describing applications of the project results in the publishing, linked enterprise data and open government data realms
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.
Content Level »Research
Keywords »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