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Research on knowledge service matching method based on semantic similarity

XingangWang, Chengcheng Ge


For the issue that knowledge services support for business process dynamic building, this paper presents a knowledge service model which regards business activities as clues. The model uses Web Service as its media, it describes enterprise knowledge resources uniformly, packages knowledge resources with a certain function to services. It uses a knowledge service matching algorithm based on semantic similarity, considers service quality similarity and service function similarity, sort ad services in accordance with the similarity in descending order, the highest similarity service is the best service. This method improves the recall and precision, better support for business process building.


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  • Euro Pub
  • ICMJE

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