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

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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.

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Acknowledgements

This paper is a revised and expanded version of the paper entitled, “Acquiring resource descriptions using social annotations”, presented at the Fifth ASE International Conference on Big Data, 2015, Taiwan [19].

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Authors and Affiliations

  1. Computer Sciences Department, University of Sciences and Technologies Houari Boumediene, BP 32 EL ALIA, Bab Ezzouar, 16111, Algiers, Algeria

    Zakaria Saoud & Samir Kechid

  2. Department of Mathematics, Ecole Normale Supérieure, BP 92 Kouba, 16050, Alger, Algeria

    Mahmoud Saoud

  3. Université de La Rochelle, L3i Laboratory, Avenue Michel Crépeau, 17042, La Rochelle, France

    Antoine Doucet

Authors
  1. Zakaria Saoud
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  2. Samir Kechid
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  3. Mahmoud Saoud
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  4. Antoine Doucet
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Correspondence to Zakaria Saoud.

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Saoud, Z., Kechid, S., Saoud, M. et al. Exploiting Social Annotations to Generate Resource Descriptions in a Distributed Environment: Cooperative Multi-Agent Simulation on Query-Based Sampling. Rev Socionetwork Strat 11, 83–93 (2017). https://doi.org/10.1007/s12626-017-0001-6

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  • DOI: https://doi.org/10.1007/s12626-017-0001-6

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