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Reasoning Web. Explainable Artificial Intelligence

Name: Reasoning Web. Explainable Artificial Intelligence
Brand: Springer Nature Switzerland AG
SKU: 24520055
Price: 61.74 EUR
Availability: InStock
Author: Markus Krötzsch
ISBN: 9783030314224

15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019, Tutorial Lectures

Markus Krötzsch

Daria Stepanova

Език

Английски език

Книга С меки корици

Код Либристо: 24520055

Издателство Springer Nature Switzerland AG, септември 2019

This volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzan... Цялото описание

Код Либристо: 24520055

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61.74 €

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This volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzano, Italy, in September 2019. 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.