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Under grid environment, a resource discovery mechanism could dramatically affect both performance and efficiency of the system. Currently, however, since most models of grid discovery are centralized, keyword based matching ones, outcomes of discovery could seldom cater customers' needs. This paper puts forward a grid
Nowadays, most grid service discovery use keyword matching and never describe the matching degree. Meantime, a user's request cannot be satisfied by any available service, whereas a composite service obtained by combining available services can be used. When each grid service matches a request best, the service
middleware. This method that is not the keyword-based matching can bring closer results which human intend to acquire. The data grid system based on ontology is possible to access and integrate each distributed data of disperse databases around the world. In addition, this technique allows users to get more concise and abundant
, a Grid application consults a broker or matchmaker agent that uses keywords and ontologies to specify grid services. Moreover, any successful selection mechanism should be highly distributed and robust to the dynamic property of Grid environment. However, we believe that keywords and ontologies cannot be defined or
The current grid information retrieval commonly uses the method based on keywords, and the retrieval method depends on the keywords that match their participation in the external form of characters, rather than the concept expressed by their neglect of the semantic information inherent in the word. It brings about
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.