Abstract
This paper deals with the issue of extending the scope of a user query in order to retrieve objects which are similar to its "strict answers". The approach proposed exploits associations between database items, corresponding, e.g., to the presence of foreign keys in the database schema. Fuzzy concepts such as typicality, similarity and linguistic quantifiers are at the heart of the approach and make it possible to obtain a ranked list of similar answers. © 2013 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Pivert, O., Smits, G., & Jaudoin, H. (2013). Finding similar objects in relational databases - An association-based fuzzy approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8132 LNAI, pp. 425–436). https://doi.org/10.1007/978-3-642-40769-7_37
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