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The MapReduce Approach to Web Service Retrieval

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8083))

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Abstract

In this paper we address the problem of Web Service Retrieval by presenting the MapReduce approach to distributed and scalable indexing of Web Services. Services are modelled in vector space which enables obtaining ranked search results. Additionally, in order to reduce size of the inverted index and to decrease the search time, presented approach uses the Merged Weight Vector method. The research is supported with implementation of proposed approach by which we conducted experiments. The experimental results confirm that the proposed approach is effective and allows to reduce index construction time and Web Service retrieval time in a scalable manner.

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References

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Author information

Authors and Affiliations

  1. Division of Computer Science and Management, Institute of Informatics, Politechnika Wrocławska, Wybrzeże Wyspiańskiego 27, PL50370, Wrocław, Poland

    Adam Czyszczoń & Aleksander Zgrzywa

Authors
  1. Adam Czyszczoń
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  2. Aleksander Zgrzywa
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Editor information

Editors and Affiliations

  1. Computer and Information Technology Department, University of Craiova, Bvd. Decebal 107, 200440, Craiova, Romania

    Costin Bǎdicǎ

  2. Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

  3. Computer and Information Technology Department, University of Craiova, Bvd. Decebal 107, 200440, Craiova, Romania

    Marius Brezovan

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Czyszczoń, A., Zgrzywa, A. (2013). The MapReduce Approach to Web Service Retrieval. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2013. Lecture Notes in Computer Science(), vol 8083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40495-5_52

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  • DOI: https://doi.org/10.1007/978-3-642-40495-5_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40494-8

  • Online ISBN: 978-3-642-40495-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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