Semantic Web Technologies: Trends and Research in Ontology-based Systems
John Davies, Rudi Studer, Paul Warren
John Wiley & Sons, May 1, 2006 - Technology & Engineering - 326 pages
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, automating the analysis and exploitation of web-based information.
Software agents will be able to create automatically new services from already published services, with potentially huge implications for models of e-Business.
Semantic Web Technologies provides a comprehensive overview of key semantic knowledge technologies and research. The authors explain (semi-)automatic ontology generation and metadata extraction in depth, along with ontology management and mediation. Further chapters examine how Semantic Web technology is being applied in knowledge management (“Semantic Information Access”) and in the next generation of Web services.
Semantic Web Technologies:
Graduate and advanced undergraduate students, academic and industrial researchers in the field will all find Semantic Web Technologies an essential guide to the technologies of the Semantic Web.
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2 Knowledge Discovery for Ontology Construction
3 Semantic Annotation and Human Language Technology
4 Ontology Evolution
Framework Prototype and Experiment
6 Ontology Mediation Merging and Aligning
7 Ontologies for Knowledge Management
8 Semantic Information Access
9 Ontology Engineering Methodologies
10 Semantic Web Services Approaches and Perspectives
11 Applying Semantic Technology to a Digital Library
A Legal Case Study
13 A Semantic ServiceOriented Architecture for the Telecommunications Industry
14 Conclusion and Outlook