| 書(shū)目名稱 | The Web of Data | | 編輯 | Aidan Hogan | | 視頻video | http://file.papertrans.cn/923/922180/922180.mp4 | | 概述 | Concisely puts techniques related to the Semantic Web, Knowledge Graphs, Linked Data, Graph Databases, Ontologies, etc. into perspective.Provides examples of their use, and discusses how they contribu | | 圖書(shū)封面 |  | | 描述 | .This book’s main goals are to bring together in a concise way all the methodologies, standards and recommendations related to Data, Queries, Links, Semantics, Validation and other issues concerning machine-readable data on the Web, to describe them in detail, to provide examples of their use, and to discuss how they contribute to – and how they have been used thus far on – the “Web of Data”. As the content of the Web becomes increasingly machine readable, increasingly complex tasks can be automated, yielding more and more powerful Web applications that are capable of discovering, cross-referencing, filtering, and organizing data from numerous websites in a matter of seconds..The book is divided into nine chapters, the first of which introduces the topic by discussing the shortcomings of the current Web and illustrating the need for a Web of Data. Next, “Web of Data” provides an overview of the fundamental concepts involved, and discusses some current use-cases on the Web wheresuch concepts are already being employed. “Resource Description Framework (RDF)” describes the graph-structured data model proposed by the Semantic Web community as a common data model for the Web. The chapte | | 出版日期 | Textbook 2020 | | 關(guān)鍵詞 | Semantic Web; Semantic Search; RDF; RDFS; OWL; SPARQL; LOD – Linked Open Data; Knowledge Graphs; Ontologies | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-51580-5 | | isbn_softcover | 978-3-030-51582-9 | | isbn_ebook | 978-3-030-51580-5 | | copyright | Springer Nature Switzerland AG 2020 |
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