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Titlebook: Current Trends in Semantic Web Technologies: Theory and Practice; Giner Alor-Hernández,José Luis Sánchez-Cervantes,R Book 2019 Springer Na

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書目名稱Current Trends in Semantic Web Technologies: Theory and Practice
編輯Giner Alor-Hernández,José Luis Sánchez-Cervantes,R
視頻videohttp://file.papertrans.cn/242/241473/241473.mp4
概述Gathers innovative and high-quality research contributions on Linked (Open) Data, Intelligent Systems and Semantic Web-based applications to various disciplines.Provides insights on the latest advance
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Current Trends in Semantic Web Technologies: Theory and Practice;  Giner Alor-Hernández,José Luis Sánchez-Cervantes,R Book 2019 Springer Na
描述.This book presents innovative and high-quality research regarding the implementation of Semantic Web technologies for knowledge representation and developing intelligent applications in various domains. Semantic Web technologies have inspired many people to create innovative technologies and applications for knowledge representation, Semantic Searches, NLP and Social Networks. The goal of this book is to collect and consolidate novel and high-quality research contributions on Semantic Web technologies and their theoretical and practical application to a range of different domains. In addition to researchers, the book offers a valuable resource for PhD students, master and undergraduate students in IT-related fields such as Computer Science and Information Systems.?.
出版日期Book 2019
關(guān)鍵詞Knowledge Representation; Semantic Web; Linked Data; Linked Open Data; Intelligent Systems; Natural Langu
版次1
doihttps://doi.org/10.1007/978-3-030-06149-4
isbn_ebook978-3-030-06149-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Semantic Data Integration of Big Biomedical Data for Supporting Personalised Medicineework that relies on semantic web technologies to enable knowledge exploration and discovery. The framework receives big data sources and integrates them into a knowledge graph. Semantic data integration methods are utilized for identifying equivalent entities, i.e., entities that correspond to the
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Operational Risk Identification in Ground Transportation Activities: Ontology—Approachto operational risk identification in supply chain that involves third party logistics providers. The ontology-based approach is oriented to improve communications about risks through the whole supply chain, achieving better results in risks management activities. The approach was validated in groun
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1860-949X cal application to a range of different domains. In addition to researchers, the book offers a valuable resource for PhD students, master and undergraduate students in IT-related fields such as Computer Science and Information Systems.?.978-3-030-06149-4Series ISSN 1860-949X Series E-ISSN 1860-9503
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https://doi.org/10.1007/978-3-658-43606-3 presents an approach for the personalization of ontologies visualization based on the implementation of the overview, zoom/filter and details interaction patterns. This is done by adapting the Rhizomer tool so different views can be generated in the context of personalized medicine. All this is val
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