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

Lecture Notes in Computer Science

Sren Auer ; Volha Bryl ; Sebastian Tramp

keywords: data authoring;    data exploration;    data enrichment;    data extraction;    data interlinking;    data integration;    data management systems;    data quality;    data visualization;    DBpedia;    information systems;    knowledge fusion;    large-scale RDF data management;    linked data for mdeia publishing;    linked enterprise data;    linked open data;    linked open data applications;    LOD;    open government data;    RDF;    resource description framework;    semantic Web;    SPARQL;   

Publisher: Springer

Subject:计算机科学（综合）

【 摘 要 】

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.

【 授权许可】

CC BY-NC   

【 图 表 】

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