Context-based web service clustering

Rong Zhang, Koji Zettsu, Takafumi Nakanishi, Yutaka Kidawara, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Under web service environment, services' calling or called relationships are usually represented as links. Based on link- or link-content analysis, it may produce tight clusters, which is useful for resource management. However current work only considers the existence of collaboration and it seldom takes service usage context into consideration. In this paper, we suppose to cluster similar services by introducing service usage context which is the complete stories for services' activities and helps to improve clustering performance. Being different with link- or link-content-based clustering methods that considering one-link-distance-away-neighbors (part of the activity story), this work proves that in team-up work situation, all collaborators (longdistance-neighbor) can provide information for distinguishing services.

Original languageEnglish
Title of host publicationSKG 2009 - 5th International Conference on Semantics, Knowledge, and Grid
Pages192-199
Number of pages8
DOIs
Publication statusPublished - 2009 Dec 1
Event5th International Conference on Semantics, Knowledge, and Grid, SKG 2009 - Zhuhai, China
Duration: 2009 Oct 122009 Oct 14

Publication series

NameSKG 2009 - 5th International Conference on Semantics, Knowledge, and Grid

Other

Other5th International Conference on Semantics, Knowledge, and Grid, SKG 2009
CountryChina
CityZhuhai
Period09/10/1209/10/14

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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