An approach for semantic web services automatic discovery and composition with similarity metrics
| Autor: | Ig Ibert Bittencourt, Ivo Calado, Heitor Barros |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Web standards
medicine.medical_specialty Web development Web 2.0 computer.internet_protocol Computer science computer.software_genre Social Semantic Web OWL-S World Wide Web Semantic analytics medicine Web Coverage Service Semantic Web Stack Semantic Web Data Web WS-Addressing Information retrieval business.industry Service provider Web application security Semantic grid Web mapping Web service business Web intelligence WS-Policy computer Web modeling |
| Zdroj: | SAC |
| DOI: | 10.1145/1529282.1529427 |
| Popis: | With the emerging growth of web services tecnology, the Web is now evolving to become a service provider. In this context, the semantic web services discovery and composition are hard tasks because injecting context into adaptive service integration raises a number of significant challenges, i.e. defining effective metrics to manage adaptation. This paper proposes an algorithm for Semantic Web Services discovery and compositon which makes use of similarity metrics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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