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

Zakaria Saoud (1) , Samir Kechid (1) , Mahmoud Saoud (2) , Antoine Doucet (3)

1 USTHB - Université des Sciences et de la Technologie Houari Boumediene = University of Sciences and Technology Houari Boumediene [Alger]
2 ENS Kouba-Alger - École normale supérieure - Kouba-Alger
3 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

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.

Mots clés: Resource description; Social network; Information retrieval

Domaines: Traitement du texte et du document; Recherche d'information [cs.IR]; Apprentissage [cs.LG]; Interface homme-machine [cs.HC]; Bibliothèque électronique [cs.DL]; Informatique et langage [cs.CL]; Intelligence artificielle [cs.AI]

Zakaria Saoud, Samir Kechid, Mahmoud Saoud, Antoine Doucet. Exploiting Social Annotations to Generate Resource Descriptions in a Distributed Environment: Cooperative Multi-Agent Simulation on Query-Based Sampling. The Review of Socionetwork Strategies, 2017, 11 (1), pp.83 - 93. ⟨10.1007/s12626-017-0001-6⟩. ⟨hal-03025489⟩