Towards the Integration of Ontologies with Service Choreographies
Identifieur interne : 001460 ( Main/Exploration ); précédent : 001459; suivant : 001461Towards the Integration of Ontologies with Service Choreographies
Auteurs : Mario Cortes-Cornax [France] ; Ioana Ciuciu [France] ; Sophie Dupuy-Chessa [France] ; Dominique Rieu [France] ; Agnès Front [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: This paper discusses the integration of ontologies with service choreographies in view of recommending interest points to the modeler for model improvement. The concept is based on an ontology of recommendations (evaluated by metrics) attached to the elements of the model. The ontology and an associated knowledge base are used in order to extract correct recommendations (specified as textual annotations attached to the model) and present them to the modeler. Recommendations may result in model improvements. The recommendations rely on similarity measures between the captured modeler design intention and the knowledge stored in the ontology and knowledge bases.
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DOI: 10.1007/978-3-642-41033-8_44
Affiliations:
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Grenoble-Alpes</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: This paper discusses the integration of ontologies with service choreographies in view of recommending interest points to the modeler for model improvement. The concept is based on an ontology of recommendations (evaluated by metrics) attached to the elements of the model. The ontology and an associated knowledge base are used in order to extract correct recommendations (specified as textual annotations attached to the model) and present them to the modeler. Recommendations may result in model improvements. 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