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The potential to achieve dynamic, scalable and cost-effective marketplaces and eCommerce solutions has driven recent research efforts towards so-called Semantic Web Services, that are enriching Web services with machine-processable semantics. To this end, the Web Service Modeling Ontology (WSMO) provides the conceptual underpinning and a formal language for(More)
semantic interoperability on the Web, but XML addresses only document structure. RDF better facilitates interoperation because it provides a data model that can be extended to address sophisticated ontology representation techniques. T he World Wide Web is possible because a set of widely established standards guarantees interoperability at various levels.(More)
R esearchers in artificial intelligence first developed ontologies to facilitate knowledge sharing and reuse. Since the beginning of the 1990s, ontologies have become a popular research topic, and several AI research communities—including knowledge engineering, natural language processing, and knowledge representation— have investigated them. More recently,(More)
The World Wide Web (WWW) can be viewed as the largest multime-dia database that has ever existed. However, its support for query answering and automated inference is very limited. Metadata and domain speciic ontologies were proposed by several authors to solve this problem. We developed Ontobroker which uses formal ontologies to extract, reason, and(More)
Web Services will transform the web from a collection of information into a distributed computational device. In order to employ their full potential, appropriate description means for web services need to be developed. For this purpose, we define a fully-fledged Web Service Modeling Framework (WSMF) that provides the appropriate conceptual model for(More)