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Exploiting Social Annotations to Generate Resource Descriptions in a Distributed Environment: Cooperative Multi-Agent Simulation on Query-Based Sampling

Author

Listed:
  • Zakaria Saoud

    (University of Sciences and Technologies Houari Boumediene)

  • Samir Kechid

    (University of Sciences and Technologies Houari Boumediene)

  • Mahmoud Saoud

    (Ecole Normale Supérieure)

  • Antoine Doucet

    (Université de La Rochelle, L3i Laboratory)

Abstract

In distributed information retrieval, resource descriptions play a principal role in facilitating the task of other processes such as the resource selection process and the merging process. The previous approach for acquiring resource descriptions was based on different techniques to improve the retrieval process, but they have many limitations. In this paper, we describe a new approach for acquiring precise resource descriptions, based on social annotations available in the social bookmarking service.

Suggested Citation

  • Zakaria Saoud & Samir Kechid & Mahmoud Saoud & Antoine Doucet, 2017. "Exploiting Social Annotations to Generate Resource Descriptions in a Distributed Environment: Cooperative Multi-Agent Simulation on Query-Based Sampling," The Review of Socionetwork Strategies, Springer, vol. 11(1), pages 83-93, June.
    • Handle: RePEc:spr:trosos:v:11:y:2017:i:1:d:10.1007_s12626-017-0001-6
    DOI: 10.1007/s12626-017-0001-6
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