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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
With the advent of Web 2.0, RESTful web services are becoming increasingly popular to emphasize the web as platform. There are already many RESTful web services and the number of services is increasing rapidly. Thus, it can be difficult to find specific services using keyword based retrieval. To solve this problem, a
Workflows are widely used for representing business processes, Web services, scientific experiments, and activities in daily life, like recipes. There is an increasing need for people to search a workflow repository using keywords and retrieve the relevant ones according to their interests. A workflow hierarchy is a
Nowadays, with the appearance of more and more web services, it has been one of the key points that how to find the target service quickly and precisely. Traditional methods of web service discovery are only based on the keyword matching, but it's very difficult to realize more detailed and intelligent services, and
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 strengths of functional semantics, keyword matching, structural & syntactic matching and semantic. The broker architecture with automatic Web service publishing and discovery mechanisms is implemented and the experimentation reveals that, the discovery mechanism is effective in terms of Recall and Precision.
(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
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
Service composition, which provides a more effective way to combine several single services into a composite service, is a kind of software reuse techniques. However, one of the most important problems is how to perform service composition correctly and effectively so as to produce high-quality source codes for describing the resulted composite service. In this paper, we propose a model-driven method...
streaming data without worrying about the performance and scalability, and provides real-time and scalable Web monitoring for massive amounts of data. As an experimental proof-of-concept application, we built an application that monitors a list of keywords in the Twitter streaming data, and that displays any messages including
user's request, the user has to construct the request using the keywords that best describe the user's objective and match correctly with the Web Service name or location. Clustering Web services based on function similarities would greatly boost the ability of Web services search engines to retrieve the most relevant Web
and WMS web services, several search engines' source code are used, then keywords in found page are analysis, and SVM based on importance factors is used. By this way, GIS service finding and filtering become automatic. Practice shows OGC Web service found by this method can satisfy user better.
prototype, it showed that this kind of search engine, based on apparel semantic tree, was more efficient apparently than full-text search engine when searching with multi-keywords.
Currently, workflow systems are either XML based or component based. Both paradigms have usability deficiencies. XML is not designed for procedural programming. Legacy code is difficult to adapt to component based systems. We propose a new paradigm by adding workflow keywords to an existing high-level language. This
search using Web service. We also create an infrastructure for sharing existing books among users by extracting featured keywords from KB for individuals' preference visualization. Our book search methodology makes it possible to find and suggest use of available books about "XML", when a user looks for books about "XQuery
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