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the interfaces of web services, we make operations defined in WSDL files which compose web services as the base units for searching and organize all information of operations and corresponding components as documents, which will facilitate IR-Style keyword searching. In order to improve the precision of searching, we
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
needed to search and find relevant information. For tabular structures embedded in HTML documents, typical keyword or link-analysis based search fails. The next phase envisioned for the WWW is automatic ad-hoc interaction between intelligent agents, web services, databases and semantic web enabled applications. A large
proposed solution in this paper involves text-mining (keyword extraction) and web service technologies for enhancing the existing results and to provide a comprehensive set of information related to local clinical records from the internal database.
well define these conceptions and the relationship between these conceptions. In this way, errors and failures generated due to misunderstanding the conceptions are reduced, function-based services are much easier to be discovered and combined, and in the meantime, the deficiency in keyword-based search technology of UDDI
services dispersed on the web. We currently use UDDI, a distributed registry system for Web services, to find services. However, UDDI only supports exact keyword match and category based query towards UDDI data entries representing each Web service, so it is hard to get a ranked query result and alternate services which are
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.