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scenarios, existing techniques do not form systems for public use; or are based on one query modal--keyword query, which cannot give the matched services accurately. In this paper, we introduce proposed multimodal query search, where users can use keyword and file as query or custom the query. The multimodal query is based on
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
Most of the current framework for Web services is based on keyword matching. Web services which contain semantics multiplicity still cannot realize service discovery and bind automatically. To solve the lack of efficient discovery mechanism for Web service, a semantic Web technology based Web services discovery
main current approaches for semantic discovery of services are the keyword-based approach and the ontology-based approach. The plain simple keyword matching strategy is time-consuming and has inefficient recall and precision. The ontology-based strategy, on the other hand, is efficient, but may not be practical for the
search engines in SWPs are based on keyword matching, which can not effectively 'understand' the meaning of users' queries, especially when a user has limited Earth science knowledge. So how to find needed data from a variety of geospatial resources becomes a big challenge. In this paper, we'll discuss a way of building
Web Service classification becomes more essential with the increasing number of Web Services. The current practical approach for management and discovery is based on keyword search techniques. In this paper, we present an approach based on semantic reasoning and ontology techniques in order to organize web services
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