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On the Use of Social Networks in Web Services: Application to the Discovery Stage

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Computational Social Network Analysis

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

This chapter discusses the use of social networks in Web services with focus on the discovery stage that characterizes the life cycle of these Web services. Other stages in this life cycle include description, publication, invocation, and composition. Web services are software applications that end users or other peers can invoke and compose to satisfy different needs such as hotel booking and car rental. Discovering the relevant Web services is, and continues to be, a major challenge due to the dynamic nature of these Web services. Indeed, Web services appear/disappear or suspend/resume operations without prior notice. Traditional discovery techniques are based on registries such as Universal Description, Discovery and Integration (UDDI) and Electronic Business using eXtensible Markup Language (ebXML). Unfortunately, despite the different improvements that these techniques have been subject to, they still suffer from various limitations that could slow down the acceptance trend of Web services by the IT community. Social networks seem to offer solutions to some of these limitations but raise, at the same time, some issues that are discussed in this chapter. The contributions of this chapter are three: social network definition in the particular context of Web services; mechanisms that support Web services build, use, and maintain their respective social networks; and social networks adoption to discover Web services.

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Notes

  1. 1.

    These interactions are part of the business logic that underpins the specification of a composite Web service. For example, following hotel confirmation, a person could now purchase his or her air ticket.

  2. 2.

    Another way to limit transitivity would be the application of a function that controls the propagation of recommendation. Such a function should introduce a minimization rate per transition performed, somehow similar to what Google’s PageRank [3] algorithm does. It propagates the “reputation” of a page to the rest of pages that it refers to.

  3. 3.

    Complementary notion is reported in [11]. Jureta et al. gather Web services into groups called service centers that are dedicated to specific types of functionalities and hence, facilitate the development of composite Web services.

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Acknowledgements

This work was partially supported by a grant to Leandro Krug Wives from the CAPES-COFECUB project AdContext (057/07), and Conselho Nacional de Desenvolvimento Cientfico e Tecnolgico (CNPq), Brazil.

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Authors and Affiliations

  1. Zayed University, 19282, Dubai, United arab Emirates

    Zakaria Maamar

  2. Instituto de Informtica, UFRGS, Porto Alegre, Brazil

    Leandro Krug Wives

  3. École des Mines, Saint-Etienne, France

    Khouloud Boukadi

Authors
  1. Zakaria Maamar
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  2. Leandro Krug Wives
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  3. Khouloud Boukadi
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Correspondence to Zakaria Maamar .

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Editors and Affiliations

  1. Scientific Network for Innovation &, Machine Intelligence Research Labs (MIR), Auburn, 98071-2259, U.S.A.

    Ajith Abraham

  2. Fac. Computers & Information, Cairo University, Ahmed Zewal Street 5, Giza, 12613, Egypt

    Aboul-Ella Hassanien

  3. Dept. Computer Science, Technical University Ostrava, Tr. 17. Listopadu 15, Ostrava, 708 33, Czech Republic

    Vaclav Sná¿el

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Maamar, Z., Wives, L.K., Boukadi, K. (2010). On the Use of Social Networks in Web Services: Application to the Discovery Stage. In: Abraham, A., Hassanien, AE., Sná¿el, V. (eds) Computational Social Network Analysis. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-84882-229-0_17

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  • DOI: https://doi.org/10.1007/978-1-84882-229-0_17

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  • Print ISBN: 978-1-84882-228-3

  • Online ISBN: 978-1-84882-229-0

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