Exploiting service context for web service search engine

Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki

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

2 Citations (Scopus)

Abstract

Service-oriented architecture (SOA) is rapidly becoming one of significant computing paradigms. However as the increasing of services, haphazardly of service definition makes it tedious and less efficient for service discovery. In this paper, we propose a novel context model "SPOT" to express services usage information. Based on SPOT definition, we build services' collaboration graph and propose to analyze collaboration structure to rank services by their usage goodness. The distinctive feature of our method lies on the introducing of services context model which is a new model to deal with service context information, and integrating it for supporting service search. Our experimental results indicate that: our context-based ranking is useful for good services recommendation; services' context makes up for service description heterogeneity and can help to distinguish content-"similar" services.

Original languageEnglish
Title of host publicationWeb-Age Information Management - 11th International Conference, WAIM 2010, Proceedings
Pages363-375
Number of pages13
DOIs
Publication statusPublished - 2010 Aug 3
Event11th International Conference on Web-Age Information Management, WAIM 2010 - Jiuzhaigou, China
Duration: 2010 Jul 152010 Jul 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6184 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Conference on Web-Age Information Management, WAIM 2010
CountryChina
CityJiuzhaigou
Period10/7/1510/7/17

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Zhang, R., Zettsu, K., Kidawara, Y., & Kiyoki, Y. (2010). Exploiting service context for web service search engine. In Web-Age Information Management - 11th International Conference, WAIM 2010, Proceedings (pp. 363-375). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6184 LNCS). https://doi.org/10.1007/978-3-642-14246-8_36