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Preference dissemination by sharing viewpoints : simulating serendipity

Surroca Guillaume, Lemoisson Philippe, Jonquet Clément, Cerri Stefano A.. 2015. Preference dissemination by sharing viewpoints : simulating serendipity. In : Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - (Volume 2). Fred Ana(ed.), Dietz Jan (ed.), Aveiro David(ed.), Liu Kecheng (ed.), Filipe Joaquim(ed.). Setubal : Scitepress, pp. 402-409. ISBN 978-989-758-158-8 International Conference on Knowledge Engineering and Ontology Development (KEOD 2015). 7, Lisbonne, Portugal, 11 November 2015/14 November 2015.

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Abstract : The Web currently stores two types of content. These contents include linked data from the semantic Web and user contributions from the social Web. Our aim is to represent simplified aspects of these contents within a unified topological model and to harvest the benefits of integrating both content types in order to prompt collective learning and knowledge discovery. In particular, we wish to capture the phenomenon of Serendipity (i.e., incidental learning) using a subjective knowledge representation formalism, in which several "viewpoints" are individually interpretable from a knowledge graph. We prove our own Viewpoints approach by evidencing the collective learning capacity enabled by our approach. To that effect, we build a simulation that disseminates knowledge with linked data and user contributions, similar to the way the Web is formed. Using a behavioral model configured to represent various Web navigation strategies, we seek to optimize the distribution of preference systems. Our results outline the most appropriate strategies for incidental learning, bringing us closer to understanding and modeling the processes involved in Serendipity. An implementation of the Viewpoints formalism kernel is available. The underlying Viewpoints model allows us to abstract and generalize our current proof of concept for the indexing of any type of data set. (Résumé d'auteur)

Mots-clés libres : Représentation des connaissances, Sérendipité, Intelligence collective, Web 2.0, Agents

Classification Agris : C20 - Extension
C30 - Documentation and information
U10 - Computer science, mathematics and statistics
U30 - Research methods

Auteurs et affiliations

  • Surroca Guillaume, LIRMM (FRA)
  • Lemoisson Philippe, CIRAD-ES-UMR TETIS (FRA)
  • Jonquet Clément, LIRMM (FRA)
  • Cerri Stefano A., LIRMM (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/579402/)

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