Knowledge Transformation for the Semantic Web

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Overview

Recently the area of the Semantic Web has got significant importance within both academia and industries. As opposed to the current Web primarily dealing with textual information, the Semantic Web has to deal with conceptual and knowledge models. These models need to be translated between different languages, representations, and modeling paradigms to enable global model search, retrieval and composition. The book covers main issues in transforming vast majority of models to be used in the context of the Semantic Web: XML schemas, relational models, UML diagrams, RDF schemas, and ontologies. Different practical approaches are presented in the book as well as discussions on some theoretical issues that arise along the way.
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Product Details

Table of Contents

Preface
Schema Conversion Methods between XML and Relational Models 1
Transforming Data Models with UML 18
On Modeling Conformance for Flexible Transformation over Data Models 34
The áFamily of Languages' Approach to Semantic Interoperability 49
Tracing Data Lineage Using Schema Transformation Pathways 64
Ontology Extraction for Distributed Environments 80
UML for the Semantic Web: Transformation-Based Approaches 92
Knowledge Representation and Transformation in Ontology-based Data Integration 107
A Logic Programming Approach to RDF Document and Query Transformation 122
RDFT: A Mapping Meta-Ontology for Web Service Integration 137
Transforming UML Domain Descriptions into Configuration Knowledge Bases 154
Author Index 169
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