2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06) 2006
DOI: 10.1109/wi.2006.155
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Semantic Web Services Discovery Using Ontology-Based Rating Model

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Cited by 10 publications
(2 citation statements)
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“…This method consists of grouping services having similar functionalities into clusters in order to restrict the search space. Sriharee [10] described ontology-based selection architecture, in which service's rating are provided by reliable third-party organizations. Service features and rating description is allowed through OWL-S language.…”
Section: Related Workmentioning
confidence: 99%
“…This method consists of grouping services having similar functionalities into clusters in order to restrict the search space. Sriharee [10] described ontology-based selection architecture, in which service's rating are provided by reliable third-party organizations. Service features and rating description is allowed through OWL-S language.…”
Section: Related Workmentioning
confidence: 99%
“…Benatallah et al (2005) propose a matchmaking technique that goes beyond subsumption comparisons between a service request and service advertisements offering more flexible matching by identifying not exact match but the best cover of the request. Another interesting initiative is the work presented in (Sriharee 2006), in which the ServiceProfile class from OWL-S was extended in order to incorporate the notion of ratings.…”
Section: Sws Discoverymentioning
confidence: 99%