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Comprehensive semantic descriptions of Web services are essential to exploit them in their full potential, that is, discovering them dynamically, and enabling automated service negotiation, composition and monitoring. The semantic mechanisms currently available in service registries which are based

Web Services (WSs) are a new breed of web application that have brought out quite challenging research issues. One of these is the establishment of an interoperable semantic framework suitable to represent all potential features of WSs. Apart from the functional properties that have already been

Recent modeling frameworks for semantically enriched web services propose a layered architecture of different functionalities and representations. For discovery,

Machine-readable format “Understanding ” of symbols • Human: Meaning is represented by the term itself (natural language + semantic relationship between terms “Student is-a Person”) • Machine: formal description of relationships Automated services

of web services should be based on the semantic match between a declarative description of the service being sought, and a description of the service being offered. Furthermore, we claim that this match is outside the representation capabilities of registries such as UDDI and languages such as WSDL. We

Many challenges of bringing communicating multiagent systems to the Web require ontologies. The integration of agent technology and ontologies could significantly affect the use of Web services and the ability to extend programs to perform tasks for users more efficiently and with less human

hard to remember, and, worse still, they change from time to time. Semantic email addressing (SEA) lets users send email to a semantically specified group of recipients. SEA provides all of the functionality of static email mailing lists, but because users can maintain their own profiles, they don

The Semantic Web relies heavily on the formal ontologies that structure underlying data for the purpose of comprehensive and transportable machine understanding. Therefore, the success of the Semantic Web depends strongly on the proliferation of ontologies, which requires fast and easy engineering