Context-based web service clustering

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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
StatePublished - 2009
Externally publishedYes
Event5th International Conference on Semantics, Knowledge, and Grid, SKG 2009 - Zhuhai, China
Duration: 12 Oct 200914 Oct 2009

Publication series

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

Conference

Conference5th International Conference on Semantics, Knowledge, and Grid, SKG 2009
Country/TerritoryChina
CityZhuhai
Period12/10/0914/10/09

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