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Titlebook: Reasoning Web. Learning, Uncertainty, Streaming, and Scalability; 14th International S Claudia d’Amato,Martin Theobald Textbook 2018 Spring

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書目名稱Reasoning Web. Learning, Uncertainty, Streaming, and Scalability
副標題14th International S
編輯Claudia d’Amato,Martin Theobald
視頻videohttp://file.papertrans.cn/823/822479/822479.mp4
概述Made for students, researchers and practitioners interested in Knowledge Graphs, Question Answering, and Semantic Web.Thoroughly revised tutorials cover logical foundations for constructing and queryi
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Reasoning Web. Learning, Uncertainty, Streaming, and Scalability; 14th International S Claudia d’Amato,Martin Theobald Textbook 2018 Spring
描述.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 makeRDF 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.)
出版日期Textbook 2018
關(guān)鍵詞international summer school; semantic Web; knowledge graphs; rule-based reasoning; data uncertainty; scal
版次1
doihttps://doi.org/10.1007/978-3-030-00338-8
isbn_softcover978-3-030-00337-1
isbn_ebook978-3-030-00338-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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978-3-030-00337-1Springer Nature Switzerland AG 2018
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Reasoning Web. Learning, Uncertainty, Streaming, and Scalability978-3-030-00338-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Practical Normative Reasoning with Defeasible Deontic Logic,s in a computationally oriented formalism, Defeasible Deontic Logic, and we provide the description of this logic, and we illustrate its use to model and reasoning with norms with the help of legal examples.
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Efficient and Convenient SPARQL+Text Search: A Quick Survey,searching such data efficiently. The first and older system, Broccoli, provides a very convenient UI that can be used without expert knowledge of the underlying data. The price is a limited query language. The second and newer system, QLever, provides an efficient query engine for SPARQL+Text, an ex
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