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Study of Web Service Discovery Algorithm Based on Semantic

机译:基于语义的Web服务发现算法研究

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摘要

Most of the exiting discovery algorithms focus on the functional properties calculation, and the process model has not been taken into account which leads to the low recall and precision of web service. In the similarity computation of service functional properties, the input and output parameters are divided into pairs by their relationships and process model is transformed into corresponding directed trees, and we can get the similarity between processes by the isomorphism of the directed trees and the similarity computation of tree's nodes and edges. As experiments state, the cache-based discovery algorithm will significantly improve web service discovery in precision and time consumed.
机译:大多数退出的发现算法专注于功能性质计算,并且未被考虑过程模型,从而导致Web服务的低召回和精度。在服务功能属性的相似性计算中,输入和输出参数通过它们的关系分为对,并将过程模型转换为相应的指导树,并且我们可以通过指向树的同构和相似性计算获得过程之间的相似性树的节点和边缘。作为实验状态,基于缓存的发现算法将在精度和时间中显着提高Web服务发现。

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