Case-based Reasoning for Web Service Discovery and Selection

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• 作者：Alan De Renzis¹ ; ^{alanderenzis@fi.uncoma.edu.ar" class="auth_mail" title="E-mail the corresponding author} ; Martin Garriga¹ ; ^{martin.garriga@fi.uncoma.edu.ar" class="auth_mail" title="E-mail the corresponding author} ; Andres Flores¹ ; ^{andres.flores@fi.uncoma.edu.ar" class="auth_mail" title="E-mail the corresponding author} ; Alejandra Cechich¹ ; ^{alejandra.cechic@fi.uncoma.edu.ar" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Web services ; Service Selection ; Service Discovery ; Case-based Reasoning ; Service Oriented Application
• 刊名：Electronic Notes in Theoretical Computer Science
• 出版年：2016
• 出版时间：14 March 2016
• 年：2016
• 卷：321
• 期：Complete
• 页码：89-112
• 全文大小：1158 K

文摘

Web Service discovery and selection deal with the retrieval of the most suitable Web Service, given a required functionality. Addressing an effective solution remains difficult when only functional descriptions of services are available. In this paper, we propose a solution by applying Case-based Reasoning, in which the resemblance between a pair of cases is quantified through a similarity function. We show the feasibility of applying Case-based Reasoning for Web Service discovery and selection, by introducing a novel case representation, learning heuristics and three different similarity functions. We also experimentally validate our proposal with a dataset of 62 real-life Web Services, achieving competitive values in terms of well-known Information Retrieval metrics.