An Analysis of the SUDOC Bibliographic Knowledge Base from a Link Validity Viewpoint

Léa Guizol 1 Olivier Rousseaux 2 Madalina Croitoru 1 Yann Nicolas 2 Aline Le Provost 2
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In the aim of evaluating and improving link quality in bibliographical knowledge bases, we develop a decision support system based on partitioning se-mantics. 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 sam-ple is issued from the catalogue of French university libraries (SUDOC), a bibli-ographical knowledge base maintained by the University Bibliographic Agency (ABES).
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Communication dans un congrès
IPMU: Information Processing and Management of Uncertainty, Jul 2014, Montpellier, France. 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Communications in Computer and Information Science (443), pp.204-213, 2014, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 〈http://www.ipmu2014.univ-montp2.fr〉. 〈10.1007/978-3-319-08855-6_21〉
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Léa Guizol, Olivier Rousseaux, Madalina Croitoru, Yann Nicolas, Aline Le Provost. An Analysis of the SUDOC Bibliographic Knowledge Base from a Link Validity Viewpoint. IPMU: Information Processing and Management of Uncertainty, Jul 2014, Montpellier, France. 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Communications in Computer and Information Science (443), pp.204-213, 2014, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 〈http://www.ipmu2014.univ-montp2.fr〉. 〈10.1007/978-3-319-08855-6_21〉. 〈lirmm-01090261〉

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