Volume 6 Number 12 (Dec. 2011)
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JSW 2011 Vol.6(12): 2486-2494 ISSN: 1796-217X
doi: 10.4304/jsw.6.12.2486-2494

Maximum Portfolio: A Query Condition Optimization Method

Zhi Yang, Budan Wu, Junliang Chen, Pingli Gu
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

Abstract—Web Service is becoming the next generation of web-based application. With enhancement of quality of services and increasing quantity of services, service discovery becomes important. In the process of discovery, although the user is not familiar with service interfaces, he wants to obtain the best services with some limited simple keywords. Because the keywords are often incomplete or wrong or fuzzy to match with the services in service library, it is difficult to get the satisfying services. This paper provides an approach named as Maximum portfolio to deal with the problem. The aim of maximum portfolio is that the suitable composition is found out from ambiguous input keyword set. The improved service matching algorithm is proposed and applied to the Service Generating Platform. The result of experiment shows the algorithm can improve efficiency of service discovery.

Index Terms—Service Discovery Process and Methodology, Maximum Portfolio, Service Matching Algorithm, Ontology

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Cite: Zhi Yang, Budan Wu, Junliang Chen, Pingli Gu, "Maximum Portfolio: A Query Condition Optimization Method," Journal of Software vol. 6, no. 12, pp. 2486-2494, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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