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2007
IEEE

A Linguistic Multi-level Weighted Query Language to Represent User Information Needs

9 years 6 months ago
A Linguistic Multi-level Weighted Query Language to Represent User Information Needs
An ordinal fuzzy linguistic Information Retrieval System (IRS) based on a multi-level weighting scheme to represent the user queries, in a more flexible way, is proposed. The IRS accepts Boolean queries that can be weighted simultaneously by means of ordinal linguistic values in two weighting levels: level of terms and level of connectives. In level of terms, the weights are associated to a threshold semantics, and in the level of connectives they are associated to a control semantics acting as modifiers of the action of the Boolean classical connectives AND and OR in the retrieval process. A new family of parameterized soft computing operators, called S-LOWA operators, is introduced for modelling that control semantics in the action of the connectives AND and OR.
Enrique Herrera-Viedma, Antonio Gabriel Lóp
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where FUZZIEEE
Authors Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Sergio Alonso, Carlos Porcel, Francisco Javier Cabrerizo
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