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: Provides a comprehensive exposition of the state-of-the art in Semantic Web research and key technologies. Explains the use of ontologies and metadata to achieve machine-interpretability. Describes methods for ontology learning and metadata generation. Discusses ontology management and evolution, covering ontology change detection and propagation, ontology dependency and mediation. Illustrates the theoretical concepts with three case studies on industrial applications in digital libraries, the legal sector and the telecommunication industry. 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.

The Semantic Web combines the descriptive languages RDF (ResourceDescription Framework) and OWL (Web Ontology Language), with thedata-centric, customizable XML (eXtensible Mark-up Language) toprovide descriptions of the content of Web documents. Thesemachine-interpretable descriptions allow more intelligent softwaresystems to be written, automating the analysis and exploitation ofweb-based information.Software agents will be able to create automatically newservices from already published services, with potentially hugeimplications for models of e-Business.Semantic Web Technologies provides a comprehensiveoverview of key semantic knowledge technologies and research.The authors explain (semi-)automatic ontology generation andmetadata extraction in depth, along with ontology management andmediation. Further chapters examine how Semantic Web technology isbeing applied in knowledge management ("Semantic InformationAccess") and in the next generation of Web services.Semantic Web Technologies:* Provides a comprehensive exposition of the state-of-the art inSemantic Web research and key technologies.* Explains the use of ontologies and metadata to achievemachine-interpretability.* Describes methods for ontology learning and metadatageneration.* Discusses ontology management and evolution, covering ontologychange detection and propagation, ontology dependency andmediation.* Illustrates the theoretical concepts with three case studies onindustrial applications in digital libraries, the legal sector andthe telecommunication industry.Graduate and advanced undergraduate students, academic andindustrial researchers in the field will all find Semantic WebTechnologies an essential guide to the technologies of theSemantic Web.