User Collaborative Semantic Web Service Matching for Legacy Application Integration A Case Study

Los Angeles, CA(2009)

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摘要
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.
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chronic disease,user collaborative semantic web service matching,web services,it projects,commerce,present serious near-term problem,suitable healthcare,legacy application integration,case study,legacy application integration a,existing medical structure,semantic web,ontologies (artificial intelligence),business process integration projects,service matching,domain ontologies,semantics-based intelligence tool,user collaborative semantic web,dictionaries,collaboration,ontologies,productivity,collaborative software,business,application software,business communication,engines
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