DocumentCode :
2351473
Title :
Contextualized semantic analysis of web services
Author :
Grant, Scott ; Martin, Douglas ; Cordy, James R. ; Skillicorn, David B.
Author_Institution :
Sch. of Comput., Queen´´s Univ., Kingston, ON, Canada
fYear :
2011
fDate :
30-30 Sept. 2011
Firstpage :
33
Lastpage :
42
Abstract :
The poor locality of operation descriptions expressed in the Web Service Description Language (WSDL) makes them difficult to analyze and compare in web service discovery tasks. This problem has led us to develop a new method for service operation comparison involving contextualizing operation descriptions by inlining related type information from other sections of the service description. In this paper, we show that this contextualization of web service descriptions can enable topic models (statistical techniques for identifying relationships) to produce semantically meaningful results that can be used to reverse engineer service-oriented web systems and automatically identify related web service operations. Specifically, we model contextualized WSDL service operations using Latent Dirichlet Allocation, and show how this approach can be used to more accurately find similar web service operations.
Keywords :
Web services; reverse engineering; Web Service Description Language; Web service discovery tasks; contextualized semantic analysis; latent Dirichlet allocation; operation description; reverse engineering; service-oriented Web system; Cloning; Context modeling; Data models; Educational institutions; Mathematical model; Semantics; Web services; reverse engineering; topic models; web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Systems Evolution (WSE), 2011 13th IEEE International Symposium on
Conference_Location :
Williamsburg, VI
ISSN :
2160-6153
Print_ISBN :
978-1-4577-0699-8
Type :
conf
DOI :
10.1109/WSE.2011.6081817
Filename :
6081817
Link To Document :
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