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

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Campaign

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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magenta

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

FIR

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

悄悄移動(dòng)

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

Daily-Value

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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