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International Workshop on Agents and Data Mining Interaction

ADMI 2014: Agents and Data Mining Interaction pp 79–92Cite as

Reputation in Communities of Agent-Based Web Services Through Data Mining

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9145))

Abstract

We present in this paper a reputation model for agent-based web services grouped into communities by their equivalent functionalities. The reputation of each web service is based on the non-functional properties of its interactions with other web services from the same community. We exploit various clustering and anomaly detection techniques to analyze and identify the quality patterns provided by each service. This enables the master of each community to allocate the requests it receives to the web service that best fulfill the quality requirements of the service consumers. Our experiments present realistic scenarios based on synthetic data that characterizes the reputation feedback of the quality provided by a web service at different times. The results showcase the capability of our reputation model in portraying the quality of web services that reside in a community and characterizing their fair and unfair feedback reports.

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Author information

Authors and Affiliations

  1. Engineering and Computer Science, Concordia University, Montreal, Canada

    Mohamad Mehdi

  2. Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada

    Nizar Bouguila & Jamal Bentahar

Authors
  1. Mohamad Mehdi
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  2. Nizar Bouguila
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  3. Jamal Bentahar
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Corresponding author

Correspondence to Mohamad Mehdi .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, New South Wales, Australia

    Longbing Cao

  2. Teesside University, Middlesborough, United Kingdom

    Yifeng Zeng

  3. Nanyang Technological University, Singapore, Singapore

    Bo An

  4. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Andreas L. Symeonidis

  5. Russian Academy of Sciences, St. Petersburg, Russia

    Vladimir Gorodetsky

  6. University of Liverpool, Liverpool, United Kingdom

    Frans Coenen

  7. University of Illinois at Chicago, Chicago, Illinois, USA

    Philip S. Yu

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© 2015 Springer International Publishing Switzerland

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Mehdi, M., Bouguila, N., Bentahar, J. (2015). Reputation in Communities of Agent-Based Web Services Through Data Mining. In: Cao, L., et al. Agents and Data Mining Interaction. ADMI 2014. Lecture Notes in Computer Science(), vol 9145. Springer, Cham. https://doi.org/10.1007/978-3-319-20230-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-20230-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20229-7

  • Online ISBN: 978-3-319-20230-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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