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Article

A Method of Web Service Discovery based on Semantic Message Bipartite Matching for Remote Medical System

Neusoft Institute of Information, China, Dalian
J. Theor. Appl. Electron. Commer. Res. 2009, 4(2), 79-87; https://doi.org/10.4067/S0718-18762009000200007
Submission received: 13 January 2009 / Revised: 3 June 2009 / Accepted: 15 June 2009 / Published: 1 August 2009

Abstract

The number of Web services are growing at an explosive speed, which brings great challenges to the accurate, efficient and automatic retrieval of target services for users. This paper presents a service discovery method with semantic matchmaking which could be used in remote medical systems. Adding ontology related semantic annotations to service interfaces is considered, and a method of service discovery based on bipartite matching of semantic message similarity is proposed. The method is easy to implement because it is not limited to specific service model. It also contributes to the improvement of service discovery efficiency when service is retrieved in an automatic way.
Keywords: Web Service Discovery; Remote Medical Systems; Message Bipartite Matching; Semantic; Similarity Web Service Discovery; Remote Medical Systems; Message Bipartite Matching; Semantic; Similarity

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MDPI and ACS Style

Zhang, Y.; Liu, B.-Y.; Wang, H. A Method of Web Service Discovery based on Semantic Message Bipartite Matching for Remote Medical System. J. Theor. Appl. Electron. Commer. Res. 2009, 4, 79-87. https://doi.org/10.4067/S0718-18762009000200007

AMA Style

Zhang Y, Liu B-Y, Wang H. A Method of Web Service Discovery based on Semantic Message Bipartite Matching for Remote Medical System. Journal of Theoretical and Applied Electronic Commerce Research. 2009; 4(2):79-87. https://doi.org/10.4067/S0718-18762009000200007

Chicago/Turabian Style

Zhang, Yang, Bing-Yue Liu, and Hong Wang. 2009. "A Method of Web Service Discovery based on Semantic Message Bipartite Matching for Remote Medical System" Journal of Theoretical and Applied Electronic Commerce Research 4, no. 2: 79-87. https://doi.org/10.4067/S0718-18762009000200007

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