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The structure has been put forward of P2P systems are strictly based on the keyword matching to find the way of routing resources, so the routing mechanism will not be able to reflect the massive, distributed resources, and semantic information, thus reducing the precision of service discovery and search prospective
Many e-commerce web sites such as online book retailers or specialized information hubs such as online movie databases make use of recommendation systems where users are directed to items of interests based on past user interactions. While keyword based approaches are naive and do not take content or context into
With the rapid growth of web services, web services discovery becomes exceedingly important and challenging. Currently, many discovery approaches have been proposed such as keyword-based or VSM-based syntactic matching and ontology-based semantic matching. Syntactic matching approaches are clearly insufficient due to
Test cases are one of the most important assets in the testing process. This paper presents the testing ontology based SWEBOK and software quality model. The management and retrieval of test cases will play a vital role in test cases reuse. The keyword-based, as well as facet-based retrieval cannot meet user's
Traditional Web Service search methodology dependant on keywords is time consuming and inefficient. The search results are often inexact. The substantive reason is that, the description of Web Service lacks semantic information. Search Engines can't accomplish the communication automatically and intelligently between
present in most personalized service systems keywords models or user-item models are used to describe the users' preferences, but vectors or matrixes used in these models do not contain semantic information, so it is difficult to accurately model the users' interests and hobbies, and it is also hard to extend the users
Most of the algorithms proposed in the literature deal with the problem of digital image retrieval. To interpret semantic of image, many researcher use keywords as textual annotation. Concept recognition is a key problem in semantic information searching. In order to be effective and efficient, we proposed a parallel
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