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Web service discovery is a mechanism which facilitates an access to the Web service descriptions. UDDI facilitates the discovery based on the service functionality through keyword and category matching. Such discovery techniques do not consider the semantics and user context as they are too syntactic in nature. In
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
which performs enhanced search by executing and ranking the list of web services based on QoS requirements of users. The ranking is performed based on reputation of each web service which is regularly and dynamically updated. This model searches registered web services based on keyword taken from user, executes each web
(UDDI) was not designed to accommodate these emerging requirements. To solve the problems of storing QoS in UDDI and aggregating QoS values, three different approaches, namely type, keyword based and ontological approaches to model QoS tModel (technical model) have been proposed. The aim is to study these approaches and
Discovering Web services using keyword-based search techniques offered by existing UDDI APIs (i.e. Inquiry API) may not yield results that are tailored to clients' needs. When discovering Web services, clients look for those that meet their requirements, primarily the overall functionality and quality of service (QoS
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
As a promising web application paradigm, web services have been widely adopted as e-business solutions. However, UDDI, the discovery mechanism of Web services, has the limitation of lack of semantic inference support, and the search mechanism based on keyword and categorization information leads to a limited
The important step towards Web service implement is the discovery of required services. Traditional Web service uses UDDI, WSDL standards etc. Keywords based searching is used in the traditional service discovery. For needing manual intervention and lack of semantic description, the methods before have low precision
interoperability with the Web services. Currently, most of the existing service discovering and matching approaches are based on keywords-based strategy. More services are available; the most is it becomes difficult to find the most appropriate service for a specific application. In this paper we mainly discuss about evaluating the
rdquoThe increasing Web service in spatial information domain, demands us to discovery service precisely and efficiently. However traditional Web service discovery provides keywords based search method, which would lead to rough search results, can't satisfy our request. Besides Web services lack of semantic
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