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Deriving Folksonomies for Improving Web API Search

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Book cover On the Move to Meaningful Internet Systems: OTM 2014 Conferences (OTM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8841))

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Abstract

Web APIs, that is, software components made available by third parties through web interfaces, can be aggregated to develop web applications, also known as mashups. Also in this application domain, tagging performed by other mashup designers, who used available Web APIs and mashups composed of them, might be exploited as knowledge that progressively emerges from the community of designers. Web API tagging has some peculiar aspects that will be analyzed in this paper. On the other hand, folksonomies are Web 2.0 tools for conceptualizing knowledge emerging from the bottom. In this paper, we discuss the adoption of folksonomy concepts in modeling Web API use for mashup development. We motivate the adoption of folksonomies in this context and we present the differences with other models that represent very close information. Our folksonomy model is meant to be fully compliant with existing and commonly used public Web API repositories. It is not intended to substitute them, but to complement their contents in order to enable advanced Web API search facilities in such a collaborative environment.

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Authors and Affiliations

  1. Dept. of Information Engineering, University of Brescia, Via Branze, 38, 25123, Brescia, Italy

    Devis Bianchini

Authors
  1. Devis Bianchini
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Editors and Affiliations

  1. TU Graz, Rechbauerstraße 12, 8010, Graz, Austria

    Robert Meersman

  2. CRAN, Campus Sciences, University of Lorraine, BP 70239, 54506, Vandoevre-les-Nancy, France

    Hervé Panetto

  3. Computer Science and Computer Engineering, La Trobe University, 3086, Melbourne, VIC, Australia

    Tharam Dillon

  4. Laboratory for Enterprise Knowledge and Systems (LEKS), IASI - CNR, Viale Manzoni 30, 00185, Rome, Italy

    Michele Missikoff

  5. School of Software, Tsinghua University, 100084, Beijing, China

    Lin Liu

  6. PROS Research Center, Camino de Vera, Universidad Politècnica de València, 46022, Valencia, Spain

    Oscar Pastor

  7. Department of Electronics, Computer Science and Systems, Univeristy of Calabria, Via P. Bucci, 41C, 87036, Rende, Cosenza, Italy

    Alfredo Cuzzocrea

  8. School of Computer Science and Information Technology, RMIT, Australia

    Timos Sellis

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Bianchini, D. (2014). Deriving Folksonomies for Improving Web API Search. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. OTM 2014. Lecture Notes in Computer Science, vol 8841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45563-0_31

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  • DOI: https://doi.org/10.1007/978-3-662-45563-0_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45562-3

  • Online ISBN: 978-3-662-45563-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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