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作者:

Yang, Hui-Rong (Yang, Hui-Rong.) | Yin, Bao-Cai (Yin, Bao-Cai.) (学者:尹宝才) | Fu, Peng-Bin (Fu, Peng-Bin.) | Qu, Liang (Qu, Liang.)

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摘要:

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.

关键词:

Computational complexity Computational efficiency Ontology Search engines Semantic Web Web services Websites

作者机构:

  • [ 1 ] [Yang, Hui-Rong]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Yang, Hui-Rong]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Yin, Bao-Cai]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Yin, Bao-Cai]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Fu, Peng-Bin]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Qu, Liang]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100124, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2012

期: 11

卷: 38

页码: 1670-1675

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