Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2014
Genre:	EDV / Informatik
	Artificial Intelligence / B / Computer Communication Networks / Computer networking & communications / computer science / Computers / data interlinking / Data management systems / data quality / data visualization / Database Management / database programming / Information systems / Information Systems and Communication Service / knowledge fusion / Künstliche Intelligenz / large-scale RDF data management / linked data for mdeia publishing / linked enterprise data / linked open data / linked open data applications / Netzwerk-Hardware / open government data / resource description framework / Semantic Web mehr...
ISBN:	9783319098456
EAN-Code:	9783319098456
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Information Systems and Applications, incl. Internet/Web, and HCI #8661 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	349 gr
Seiten:	215
Illustration:	VII, 215 p. 73 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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 Datä. 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.