Abstract

In recent years, many web services had been published by service providers. Finding similar web services to replace existing web services that a business actor owned has become a challenging task. This issue is identified as web service discovery problem. Two approaches to address this problem are measuring the semantic and structural similarity of web services. These approaches are performed by utilizing information in Web Service Definition Language document. This paper proposed a method which combined semantic and structural similarity of web services using Bi-term Topic Model (BTM) and WDAG similarity. In the proposed method, web service structure is modelled into Weighted Directed Acyclic Graph (WDAG). Then BTM is used to mine topic on the modelled WDAG. Jenson-Shannon divergence is used to calculate topic similarity and WDAG similarity is used to calculate the structure similarity of WDAG. The result of experiment shows that the proposed method is applicable for web service discovery with average precision 83.78% and average recall 91.79%.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Information and Communication Technology and System, ICTS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages235-239
Number of pages5
ISBN (Electronic)9781538628256
DOIs
Publication statusPublished - 19 Jan 2018
Event11th International Conference on Information and Communication Technology and System, ICTS 2017 - Surabaya, Indonesia
Duration: 31 Oct 201731 Oct 2017

Publication series

NameProceedings of the 11th International Conference on Information and Communication Technology and System, ICTS 2017
Volume2018-January

Conference

Conference11th International Conference on Information and Communication Technology and System, ICTS 2017
Country/TerritoryIndonesia
CitySurabaya
Period31/10/1731/10/17

Keywords

  • BTM
  • WDAG
  • semantic
  • structural
  • web service discovery

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