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Titlebook: Materializing the Web of Linked Data; Nikolaos Konstantinou,Dimitrios-Emmanuel Spanos Book 2015 Springer International Publishing Switzerl

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書(shū)目名稱(chēng)Materializing the Web of Linked Data
編輯Nikolaos Konstantinou,Dimitrios-Emmanuel Spanos
視頻videohttp://file.papertrans.cn/626/625744/625744.mp4
概述Closely examines the Semantic Web, its key concepts and technical challenges.Explores the methodology and technologies that led to the development of the Linked Data paradigm using examples and case s
圖書(shū)封面Titlebook: Materializing the Web of Linked Data;  Nikolaos Konstantinou,Dimitrios-Emmanuel Spanos Book 2015 Springer International Publishing Switzerl
描述This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search. Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformation from the document-based World Wide Web into a Web of Data.Materializing the Web of Linked Data is addressed to researchers and professionals studying software technologies, tools and approaches that drive the Linked Data ecosystem, and the Web in general.
出版日期Book 2015
關(guān)鍵詞OWL; RDF; SPARQL; data management; information processing; linked data; ontology; relational database; seman
版次1
doihttps://doi.org/10.1007/978-3-319-16074-0
isbn_softcover978-3-319-35745-4
isbn_ebook978-3-319-16074-0
copyrightSpringer International Publishing Switzerland 2015
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https://doi.org/10.1007/978-3-319-16074-0OWL; RDF; SPARQL; data management; information processing; linked data; ontology; relational database; seman
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Nikolaos Konstantinou,Dimitrios-Emmanuel SpanosClosely examines the Semantic Web, its key concepts and technical challenges.Explores the methodology and technologies that led to the development of the Linked Data paradigm using examples and case s
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Deploying Linked Open Data: Methodologies and Software Tools,pter starts with a presentation of the rationale and a discussion about how data can be opened up (i.e. published under an open license). Basic principles are first introduced regarding the cases in which content can be opened up and also, the most common approaches are presented in accomplishing th
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Generating Linked Data in Real-time from Sensor Data Streams, layer. First, we introduce the concepts that are covered in this Section: real-time, context-awareness, windowing, information fusion. Next, we mention the difficulties associated with the attempt of creating a semantic sensor network, we note our architectural concerns by presenting a number of is
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