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Titlebook: Reasoning Web. Semantic Interoperability on the Web; 13th International S Giovambattista Ianni,Domenico Lembo,Steffen Staab Textbook 2017 S

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书目名称Reasoning Web. Semantic Interoperability on the Web
副标题13th International S
编辑Giovambattista Ianni,Domenico Lembo,Steffen Staab
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Reasoning Web. Semantic Interoperability on the Web; 13th International S Giovambattista Ianni,Domenico Lembo,Steffen Staab Textbook 2017 S
描述.This volume contains the lecture notes of the 13th Reasoning Web Summer School, RW 2017, held in London, UK, in July 2017..In 2017, the theme of the school was "Semantic Interoperability on the Web", which encompasses subjects such as data integration, open data management, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology-based dynamic systems. The papers of this volume focus on these topics and also address foundational reasoning techniques used in answer set programming and ontologies. .
出版日期Textbook 2017
关键词Semantic Web; Knowledge Representation and Reasoning; Ontologies; Logic Programming; Answer Set Programm
版次1
doihttps://doi.org/10.1007/978-3-319-61033-7
isbn_softcover978-3-319-61032-0
isbn_ebook978-3-319-61033-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Answer Set Programming with External Source Access,g., in Python or C++. We consider how to solve problems using the ASP paradigm, and specifically discuss how to use external atoms in this context, illustrated by examples. As a showcase, we demonstrate the development of a . program for a concrete real-world problem using Semantic Web technologies,
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OBDA for Log Extraction in Process Mining,rious process stakeholders in data preparation and log extraction from legacy information systems. The purpose of this paper is to single out this challenging, open issue, and didactically introduce how techniques from intelligent data management, and in particular ontology-based data access, provid
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