Abstract
Museum collections represent a highly challenging search space. This article proposes a novel approach for co-referent record identification which is suitable for use across multiple separate collections. The proposed approach is intended to be suitable for use despite highly imprecise/uncertain attribute values in the records. It is hoped that this can be achieved through a combination of aspects from the fields of probabillistic record linkage, document classification, and fuzzy clustering.
Original language | English |
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Pages (from-to) | 347-354 |
Number of pages | 8 |
Journal | Literary and linguistic computing |
Volume | 27 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2012 |