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matching of service capabilities using a semantic reasoner. The proposed approach has been evaluated for accuracy using recall and precision. The results are compared with keyword based matching. With a typical test data of 90 services, the proposed method has average recall of 88.2% and average precision of 63.7% in contrast
The proliferation of Web services demands for a discovery mechanism to find advertisements that satisfy the requests more accurately. OWL-S provides a capability-based description and logic inference mechanism for semantically matching. UDDI provides a registry of businesses and Web services, but its keyword search
One of the key objectives of web service technology is to construct processes that enable service providers to interconnect with their clients. The industry has developed the UDDI registry to enable the register of services and to make them available to their users. However, the keyword-based search of UDDI frequently
propose a service discovery, which is able to discover all these new service types. In addition, it is capable to find services that are not exact matches of the requested ones. More semantics are introduced through attributes like EquivalenceClass, ParentType and Keywords.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.