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A Decentralized Framework for Semantic Web Services Discovery Using Mobile Agent

A Decentralized Framework for Semantic Web Services Discovery Using Mobile Agent

Nadia Ben Seghir, Okba Kazar, Khaled Rezeg
Copyright: © 2015 |Volume: 10 |Issue: 4 |Pages: 24
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781466676268|DOI: 10.4018/IJITWE.2015100102
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MLA

Ben Seghir, Nadia, et al. "A Decentralized Framework for Semantic Web Services Discovery Using Mobile Agent." IJITWE vol.10, no.4 2015: pp.20-43. http://doi.org/10.4018/IJITWE.2015100102

APA

Ben Seghir, N., Kazar, O., & Rezeg, K. (2015). A Decentralized Framework for Semantic Web Services Discovery Using Mobile Agent. International Journal of Information Technology and Web Engineering (IJITWE), 10(4), 20-43. http://doi.org/10.4018/IJITWE.2015100102

Chicago

Ben Seghir, Nadia, Okba Kazar, and Khaled Rezeg. "A Decentralized Framework for Semantic Web Services Discovery Using Mobile Agent," International Journal of Information Technology and Web Engineering (IJITWE) 10, no.4: 20-43. http://doi.org/10.4018/IJITWE.2015100102

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Abstract

Web services discovery provided by the UDDI registries is relatively primitive. It does not take into account the continuous growth in the number of services on the Web. The UDDI standard has been proposed and used for Web service publication and discovery. However, it does not allow users to choose the best provider. It does not offer a mechanism to choose a Web service based on its quality. The standard also lacks of 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 paper 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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