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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
Grid computing has been noticed as a solution for digital content management. But, existing grid computing-based digital content management systems cannot meet complex and detailed requirements of a grid user due to the simple search mechanism base on few keywords. Therefore, this paper constructs a digital content
-Chord is introduced to organize KM, which not only reflects the concepts (keywords) of textual topic, but also takes the relationships between concepts into account. So KM-Chord has more strong semantic information than traditional Chord. Knowledge map (KM) representing textual topic can be located quickly with the help of
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.