A Proposal for Modelling Agrifood Chains as Multi Agent Systems

Abstract : In the aim of evaluating and improving link quality in bibliographical knowledge bases, we develop a decision support system based on partitioning semantics. The novelty of our approach consists in using symbolic values criteria for partitioning and suitable partitioning semantics. In this paper we evaluate and compare the above mentioned semantics on a real qualitative sample. This sample is issued from the catalogue of French university libraries (SUDOC), a bibliographical knowledge base maintained by the University Bibliographic Agency (ABES).
Type de document :
Communication dans un congrès
IPMU: Information Processing and Management of Uncertainty, Jun 2016, Eindhoven, Netherlands. 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Communications in Computer and Information Science (610), pp.498-509, 2016, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 〈http://is.ieis.tue.nl/ipmu/〉. 〈10.1007/978-3-319-40596-4_42〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01328678
Contributeur : Madalina Croitoru <>
Soumis le : mercredi 8 juin 2016 - 12:13:59
Dernière modification le : jeudi 24 mai 2018 - 15:59:22

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Madalina Croitoru, Patrice Buche, Brigitte Charnomordic, Jérôme Fortin, Hazael Jones, et al.. A Proposal for Modelling Agrifood Chains as Multi Agent Systems . IPMU: Information Processing and Management of Uncertainty, Jun 2016, Eindhoven, Netherlands. 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Communications in Computer and Information Science (610), pp.498-509, 2016, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 〈http://is.ieis.tue.nl/ipmu/〉. 〈10.1007/978-3-319-40596-4_42〉. 〈lirmm-01328678〉

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