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Secure Data Provenance and Inference Control with Semantic Web

prepared to keep up with the on-going development of the prototypes, products, tools, and standards for secure data management, secure Semantic Web;

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Secure Data Provenance and Inference Control with Semantic Web

prepared to keep up with the on-going development of the prototypes, products, tools, and standards for secure data management, secure Semantic Web;

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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;

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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;

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Semantic IoT: Theory and Applications

places across the ecosystem, (v) flexible storage of heterogeneous data. Finally, Semantic Web, Web of Things, and Linked Open Data are;

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Provenance

The World Wide Web is now deeply intertwined with our lives, and has become a catalyst for a data deluge, making vast amounts of data;

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Semantic Web and Web Science

cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web;

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Provenance in Data Science

, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance;

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Web Semantics

Web Semantics including semantics for data and semantics for services. Presents a comprehensive examination of the emerging research;

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Database and Expert Systems Applications

Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse;

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Database and Expert Systems Applications

Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse;

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The Semantic Web Latest Advances and New Domains

Semantic Web, Human Computation and Crowdsourcing) beside the following subjects Vocabularies, Schemas, Ontologies, Reasoning, Linked Data;

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The Semantic Web

data infrastructures, social and human aspects of the Semantic Web, and, machine learning.;

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Reasoning Web. Semantic Technologies for Information Systems

with meta-data and processing methods so as to provide Web-based systems with advanced (- called intelligent) capabilities, in particular with;

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Semantic Web

and cannot be processed by machines. This book provides a well-paced introduction to the Semantic Web. It covers a wide range of topics, from;

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The Semantic Web: Trends and Challenges

web science; data management; natural language processing; reasoning; machine learning, linked open data; cognition and semantic web;

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Reasoning Web

). TheSchoolwashostedbythe University of Malta and was organized by the Network of Excellence REWERSE Reasoning on the Web with Rules and Semantics (http://rewerse;

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The Semantic Web

scalability; linked data; machine learning; mobile web, sensors, and semantic streams; natural language processing and information retrieval;

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XML Databases and the Semantic Web

today's corporations. With so much data on the Web, managing it with conventional tools is becoming almost impossible. New tools and techniques;

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Mastering Structured Data on the Semantic Web

-world humans and objects) rather than documents meaningless to computers. Mastering Structured Data on the Semantic Web explains the practical;

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Towards the Multilingual Semantic Web

information needs in any language with regard to semantically structured data available on the Semantic Web and Linked Open Data (LOD) cloud, (2;

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Data Management and Query Processing in Semantic Web Databases

key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and;

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Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so;

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Reasoning Web. Explainable Artificial Intelligence

inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based;

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Semantic Web for the Working Ontologist

Semantic Web. Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing;

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The Semantic Web

scalability; linked data; machine learning; mobile web, sensors, and semantic streams; natural language processing and information retrieval;

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Semantic Agent Systems

, the semantic Web is a Web of semantically linked data which aims to enable man and machine to execute tasks in tandem. Here, software agents;

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