Research Repository

Web services discovery and rank: An information retrieval approach

Hao, Yanan and Zhang, Yanchun and Cao, Jinli (2010) Web services discovery and rank: An information retrieval approach. Future Generation Computer Systems, 26 (8). pp. 1053-1062. ISSN 0167-739X

Full text for this resource is not available from the Research Repository.

Abstract

With the rapid development of e-commerce over the internet, web services have attracted much attention in recent years. Nowadays, enterprises are able to outsource their internal business processes as services and make them accessible via the Web. They can then dynamically combine individual services to provide new value-added services. A main problem that remains is how to discover desired web services. In this paper, we propose a novel IR-Style mechanism for discovering and ranking web services automatically, given a textual description of desired services. In particular, we introduce the notion of preference degree for web services and then we define service relevance and service importance as two desired properties for measuring the preference degree. Furthermore, various algorithms are given for computing the relevance and importance of services, respectively. At the same time, we also develop a new schema tree matching algorithm to measure service connectivity, which is a novel metric to evaluate the importance of services. Experimental results show the proposed IR-style search strategy is efficient and practical.

Item Type: Article
Uncontrolled Keywords: ResPubID19766, web service, discovery, ranking
Subjects: Faculty/School/Research Centre/Department > School of Engineering and Science
FOR Classification > 0806 Information Systems
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Depositing User: VUIR
Date Deposited: 14 Jun 2012 03:40
Last Modified: 20 Jun 2012 05:06
URI: http://vuir.vu.edu.au/id/eprint/7348
DOI: 10.1016/j.future.2010.04.012
ePrint Statistics: View download statistics for this item
Citations in Scopus: 17 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar