ServiceXplorer: a similarity-based web service search engine

Anne H H Ngu, Jiangang Ma, Quan Z. Sheng, Lina Yao, Scott Julian

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

3 Citations (Scopus)

Abstract

Finding relevant Web services and composing them into value-added applications is becoming increasingly important in cloud and service based marketplaces. The key problem with current approaches to finding relevant Web services is that most of them only provide searches over a discrete set of features using exact keyword matching. We demonstrate in this paper that by utilizing well known indexing scheme such as inverted file and R-tree indexes overWeb services attributes, the Earth Mover's Distance (EMD) algorithm can be used efficiently to find partial matches between a query and a database of Web services.

Original languageEnglish
Title of host publicationSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York, USA
PublisherAssociation for Computing Machinery
Pages1251-1252
Number of pages2
ISBN (Print)9781450322591
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia
Duration: 6 Jul 201411 Jul 2014

Other

Other37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
Country/TerritoryAustralia
CityGold Coast, QLD
Period6/07/1411/07/14

Keywords

  • Earth Mover's distance
  • Search engine
  • Web services

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