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A Personalized Approach for Web Service Discovery in Distributed Environments

A Personalized Approach for Web Service Discovery in Distributed Environments

Nadia Ben Seghir, Okba Kazar, Khaled Rezeg
Copyright: © 2018 |Pages: 32
ISBN13: 9781522553847|ISBN10: 1522553843|EISBN13: 9781522553854
DOI: 10.4018/978-1-5225-5384-7.ch014
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MLA

Ben Seghir, Nadia, et al. "A Personalized Approach for Web Service Discovery in Distributed Environments." Handbook of Research on Contemporary Perspectives on Web-Based Systems, edited by Atilla Elçi, IGI Global, 2018, pp. 308-339. https://doi.org/10.4018/978-1-5225-5384-7.ch014

APA

Ben Seghir, N., Kazar, O., & Rezeg, K. (2018). A Personalized Approach for Web Service Discovery in Distributed Environments. In A. Elçi (Ed.), Handbook of Research on Contemporary Perspectives on Web-Based Systems (pp. 308-339). IGI Global. https://doi.org/10.4018/978-1-5225-5384-7.ch014

Chicago

Ben Seghir, Nadia, Okba Kazar, and Khaled Rezeg. "A Personalized Approach for Web Service Discovery in Distributed Environments." In Handbook of Research on Contemporary Perspectives on Web-Based Systems, edited by Atilla Elçi, 308-339. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5384-7.ch014

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Abstract

Web services are meaningful only if potential users may find and execute them. Universal description discovery and integration (UDDI) help businesses, organizations, and other web services providers to discover and reach to the service(s) by providing the URI of the WSDL file. However, it does not offer a mechanism to choose a web service based on its quality. The standard also lacks sufficient semantic description in the content of web services. This lack makes it difficult to find and compose suitable web services during analysis, search, and matching processes. In addition, a central UDDI suffers from one centralized point problem and the high cost of maintenance. To get around these problems, the authors propose in this chapter a novel framework based on mobile agent and metadata catalogue for web services discovery. Their approach is based on user profile in order to discover appropriate web services, meeting customer requirements in less time and taking into account the QoS properties.

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