Résumé
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).