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Semantic Web Technologies: Trends and Research in Ontology-based Systems
Semantic Web Technologies: Trends and Research in Ontology-based Systems
The Semantic Web combines the descriptive languages RDF (Resource Description Framework) and OWL (Web Ontology Language), with the data-centric, customizable XML (eXtensible Mark-up Language) to provide descriptions of the content of Web documents. These machine-interpretable descriptions allow more intelligent software systems to be written,...
Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies
Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies

Despite its explosive growth over the last decade, the Web remains essentially a tool to allow humans to access information. Semantic Web technologies like RDF, OWL and other W3C standards aim to extend the Web’s capability through increased availability of machine-processable information.

Davies, Grobelnik and Mladenic have...

Principles of Distributed Database Systems
Principles of Distributed Database Systems
The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF...
Linked Data: Structured Data on the Web
Linked Data: Structured Data on the Web

Summary

Linked Data presents the Linked Data model in plain, jargon-free language to Web developers. Avoiding the overly academic terminology of the Semantic Web, this new book presents practical techniques, using everyday tools like JavaScript and Python.

About this Book

...

Building Trustworthy Semantic Webs
Building Trustworthy Semantic Webs
Semantic Webs promise to revolutionize the way computers find and integrate data over the internet. They will allow Web agents to share and reuse data across applications, enterprises, and community boundaries. However, this improved accessibility poses a greater threat of unauthorized access, which could lead to the malicious corruption of...
Multimedia Retrieval (Data-Centric Systems and Applications)
Multimedia Retrieval (Data-Centric Systems and Applications)
Retrieval of multimedia data is different from retrieval of structured data. A key problem in multimedia databases is search, and the proposed solutions to the problem of multimedia information retrieval span a rather wide spectrum of topics outside the traditional database area, ranging from information retrieval and humancomputer interaction to...
   
   
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