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Modeling and Management of Fuzzy Semantic RDF Data

This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data;

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RDF Database Systems

applications, data models, indexing and query processing solutions.Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context;

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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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Semantic Web for the Working Ontologist

characterized by information sharing, cooperation, and collaboration. It also explains the use of RDF to implement the Semantic Web by allowing;

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Foundations of Fuzzy Logic and Semantic Web Languages

underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used;

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Fuzzy Knowledge Management for the Semantic Web

This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web. The;

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Fuzzy Knowledge Management for the Semantic Web

This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web. The;

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Validating RDF Data

RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad;

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Fuzzy Logic and the Semantic Web

These are exciting times in the fields of Fuzzy Logic and the Semantic Web, and this book will add to the excitement, as it is the first;

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Modeling Fuzzy Spatiotemporal Data with XML

This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with;

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Modeling Fuzzy Spatiotemporal Data with XML

This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with;

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Database and Expert Systems Applications

Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and;

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Database and Expert Systems Applications

Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and;

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Linked Data

of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked;

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Fuzzy Logic-Based Modeling in Collaborative and Blended Learning

modeling, neuro-fuzzy learning management systems, and quality of interaction.;

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Semantic Technology

selected from 34 submissions. The papers cover the following topics: ontology and data management; linked data; information retrieval and knowledge;

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Data Integration on the (Semantic) Web with Rules and Rich Unification

RDF containers, RDF collections and reification in the style of the RDF/S semantics is introduced as the formal foundation of query constructs;

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Foundations of Semantic Web Technologies

Semantic Web technologies standardized by the World Wide Web Consortium: RDF and SPARQL enable data exchange and querying, RDFS and OWL provide;

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Linked Open Data Creating Knowledge Out of Interlinked Data

in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3;

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Cloud-Based RDF Data Management

in the form of knowledge graphs. Managing such large volumes of RDF data is challenging due to the sheer size, heterogeneity, and complexity;

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Cloud-Based RDF Data Management

in the form of knowledge graphs. Managing such large volumes of RDF data is challenging due to the sheer size, heterogeneity, and complexity;

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Cloud-Based RDF Data Management

in the form of knowledge graphs. Managing such large volumes of RDF data is challenging due to the sheer size, heterogeneity, and complexity;

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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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Learning SPARQL

version of specifications Understand SPARQL's connection with RDF, the semantic web, and related specifications Query and combine data from;

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Applications and Developments in Semantic Process Mining

through the implementation of semantic modeling and representation. Featuring research on topics such as domain ontologies, fuzzy modeling, and;

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Applications and Developments in Semantic Process Mining

through the implementation of semantic modeling and representation. Featuring research on topics such as domain ontologies, fuzzy modeling, and;

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Semantic Modeling for Data Avoiding Pitfalls and Breaking Dilemmas

of the right data and the technology to extract business gold-but you still fail. The reason? Bad data semantics. In this practical and;

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