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Titlebook: Mastering Structured Data on the Semantic Web; From HTML5 Microdata Leslie F. Sikos Book 2015 Leslie Sikos 2015

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發(fā)表于 2025-3-21 17:39:48 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mastering Structured Data on the Semantic Web
副標題From HTML5 Microdata
編輯Leslie F. Sikos
視頻videohttp://file.papertrans.cn/626/625541/625541.mp4
概述Mastering Structured Data on the Semantic Web explains the practical aspects and the theory behind the semantic web and how structured data, such as Microformats, can be used to boost the efficiency o
圖書封面Titlebook: Mastering Structured Data on the Semantic Web; From HTML5 Microdata Leslie F. Sikos Book 2015 Leslie Sikos 2015
描述A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one another. Computers can "understand" such data better, which can be useful for task automation. The web sites that provide semantics (meaning) to software agents form the Semantic Web, the Artificial Intelligence extension of the World Wide Web. In contrast to the conventional Web (the "Web of Documents"), the Semantic Web includes the "Web of Data", which connects "things" (representing real-world humans and objects) rather than documents meaningless to computers. .Mastering Structured Data on the Semantic Web. explains the practical aspects and the theory behind the Semantic Web and how structured data, such as HTML5 Microdata and JSON-LD, can be used to improve your site’s performance on next-generation Search Engine Result Pages and be displayed on Google Knowledge Panels. You will learn how to represent arbitrary fields of human knowledge in a machine-interpretable for
出版日期Book 2015
版次1
doihttps://doi.org/10.1007/978-1-4842-1049-9
isbn_softcover978-1-4842-1050-5
isbn_ebook978-1-4842-1049-9
copyrightLeslie Sikos 2015
The information of publication is updating

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Book 2015n can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one another. Computers can "understand" such data better, which can be useful for task automation. The web sites that provide semantics (me
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Knowledge Representation, machine-readable data but also to express complex statements and relationships in a machine-processable manner. After understanding the structure of these statements and their serialization in the Resource Description Framework (RDF), the structured data can be efficiently modeled as well as annota
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Linked Open Data, data integration, connecting data from diverse domains, such as people, companies, books, scientific publications, films, music, reviews, television and radio programs, medicine, statistics, online communities, and scientific data. The union of the structured datasets forms the Linked Open Data Clo
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Semantic Web Development Tools,nd more efficient using software tools. Web designers and search engine optimization (SEO) experts often generate machine-readable annotations or convert existing structured data to a different serialization. While web site markup can be edited in any text editor, some advanced features are desired
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Semantic Web Services,ic transport services, government services, community services, and media services are parts of our daily lives. However, the range of service offerings is widening. In the information technology (IT) industry, for example, there is also an endless variety of services. In the more and more popular c
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Graph Databases,uter networks, electronics, as well as for maximum flow problems, route problems, and web searches. Graph databases are databases with Create, Read, Update, and Delete (CRUD) methods exposing a graph data model, such as property graphs (containing nodes and relationships), hypergraphs (a relationshi
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