DocumentCode :
2768136
Title :
User Collaborative Semantic Web Service Matching for Legacy Application Integration A Case Study
Author :
Tan, Hua Fang ; Akkiraju, Rama ; Ivan, Anca-Andreea ; Goodwin, Richard ; Knappenberger, Diane
Author_Institution :
IBM China Res. Lab., Beijing, China
fYear :
2009
fDate :
6-10 July 2009
Firstpage :
93
Lastpage :
98
Abstract :
In this paper we present the results of a case study on the application of our semantic Web service matching system to a real-world legacy application integration problem. Experimental results on our initial data sets indicate that the system on its own is able to achieve close to an average of 50% recall and 54% precision measures in matching the parameters that define the interfaces of business applications. Additional performance enhancements of up to 95% recall and 72% precision measures were achieved with the usage of domain ontologies created by an expert. Therefore, we believe a user working with a semantics-based intelligence tool could gain significant productivity enhancements in IT projects rather than working alone. These productivity enhancements can be quickly translated into savings in time and money in business process integration projects.
Keywords :
Web services; commerce; ontologies (artificial intelligence); semantic Web; IT projects; business process integration projects; domain ontologies; legacy application integration; semantics-based intelligence tool; user collaborative semantic Web service matching; Application software; Business communication; Collaboration; Collaborative software; Drives; Ontologies; Productivity; Semantic Web; Thesauri; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services - I, 2009 World Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3708-5
Electronic_ISBN :
978-0-7695-3708-5
Type :
conf
DOI :
10.1109/SERVICES-I.2009.136
Filename :
5190741
Link To Document :
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