基于Google距离的语义Web服务发现
Semantic Discovery of Web Services Based on Google Distance
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摘要: 针对多数语义Web服务发现算法需要领域本体支持且算法的复杂度较高的问题,利用Google距离来定量测量Web服务输入、输出间的语义距离,并基于Google海量词汇及Google搜索引擎来计算服务间语义相似度.计算时,不需要提供领域本体且基于开放的Google搜索引擎来计算服务匹配度,提高了效率,降低了复杂度.Abstract: To solve the problem that the most of the semantic Web service discovery algorithms required a domain ontology and had a high complexity,the Google distance was used to measure the semantic distance between input and output parameters of Web services,and based on Google's massive vocabulary and the Google searched engine to calculate the semantic similarity between services.This algorithm does not require domain ontology,computing matching degree of Web services based on the open search engine of Google.It can improve the computational efficiency and reduce the complexity of the algorithm.