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
WebTechnologies" an essential guide to the technologies of the
Semantic Web.
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