Service customization supporting an adaptive information system
| Autor: | Gianluca Elia, Antonio Caforio, Gianluca Solazzo, Angelo Corallo |
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| Přispěvatelé: | Caforio, Antonio, Corallo, Angelo, Elia, Gianluca, Solazzo, Gianluca, M.G. Negoita, R.J. Howlett, L.C. Jain, Caforio, A., Solazzo, G. |
| Předmět: |
Service delivery framework
Business process Computer science Service discovery Recommender system computer.software_genre Social Semantic Web Theoretical Computer Science World Wide Web Semantic similarity Information system Semantic Web Stack ontology Semantic Web Data Web Semantic matching Information retrieval User profile algorithm business.industry web service discovering Computer Science (all) adaptive system Differentiated service semantic recommender Service customization Ontology Web service business computer |
| Zdroj: | Scopus-Elsevier Lecture Notes in Computer Science ISBN: 9783540232056 KES |
| Popis: | This work approaches the problem of discovering atomic web services that will realize complex business processes in an adaptive information system. It is proposed a model for semantic description of web services and user profile and the design of a semantic recommender engine based on this model. The recommender engine performs, during the web service discovery phase, a ”similarity evaluation” step in which it can be possible to estimate the similarity between what the service offers and what the user prefers. A semantic algorithm, that measures distance between concepts in an ontology, is used to rank the results of the semantic matching between the user profile and a list of web services, suggesting to the user the most suitable services. |
| Databáze: | OpenAIRE |
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