Investigating the quality of a bibliographic knowledge base using partitioning semantics

Léa Guizol 1 Madalina Croitoru 1
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : With the aim of evaluating and improving link quality in bibliographical knowledge bases, we develop a deci-sion support system based on partitioning semantics. Two such semantics have been proposed, the novelty of this approach consisting on using symbolic values criteria for partitioning. In this paper we investigate the limits of those partitioning seman-tics: how the characteristics of the input (objects and criteria) influences characteristics of the result, namely correctness of the result and execution time.
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Léa Guizol, Madalina Croitoru. Investigating the quality of a bibliographic knowledge base using partitioning semantics. FUZZ: Fuzzy Systems, Jul 2014, Beijing, China. pp.948-955, ⟨10.1109/FUZZ-IEEE.2014.6891541⟩. ⟨lirmm-01090451⟩

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