Abstract: We describe our approach to building the model of the search in libraries’ catalogues based on the fuzzy similarity relation. To construct the model we carried out an experimental search to the variants of name in the catalogs of two libraries - the German National Library and the National Library of France. The model we constructed is based on the result of our experiment.

Keywords: fuzzy similarity relation, names transliteration, authority control, library catalogs

ACM Classification Keywords: H.3.6 Library Automation H.3.3, Information Search and Retrieval, 1.5.1 Pattern recognition. Fuzzy set

Link:

BUILDING THE LIBRARY CATALOG SEARCH MODEL BASED ON THE FUZZY SIMILARITY RELATION

Liliya Vershinina, Mikhail Vershinin, Andrej Masevich

http://www.foibg.com/ibs_isc/ibs-26/ibs-26-p05.pdf