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Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Reasoning Web. Learning, Uncertainty, Streaming, and Scalability Claudia D'Amato
Libristo kod: 20085649
Nakladnici Springer Nature Switzerland AG, kolovoz 2018
This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-s... Cijeli opis
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This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.

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Informacije o knjizi

Puni naziv Reasoning Web. Learning, Uncertainty, Streaming, and Scalability
Autor Claudia D'Amato, Martin Theobald
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2018
Broj stranica 237
EAN 9783030003371
ISBN 303000337X
Libristo kod 20085649
Nakladnici Springer Nature Switzerland AG
Težina 391
Dimenzije 155 x 235 x 12

Kategorija

Society & Social Sciences > Politics & government > Public administration
Computing & Information Technology > Computer science > Mathematical theory of computation
Computing & Information Technology > Computer science > Artificial intelligence
Computing & Information Technology > Databases
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