Document (#27741)

Author

Herrera-Viedma, E.
Cordón, O.
Herrera, J.C.
Luqe, M.

Title

¬An IRS based on multi-granular lnguistic information

Source

Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas

Imprint

Würzburg : Ergon Verlag

Year

2003

Pages

S.372-378

Series

Advances in knowledge organization; vol.8

Abstract

An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic values represented by the linguistic variable "Importance" assessed an a label set S. The system evaluates the weighted queries according to a threshold semantic and obtains the linguistic retrieval status values (RSV) of documents represented by a linguistic variable "Relevance" expressed in a different label set S'. The advantage of this linguistic IRS with respect to others is that the use of the multi-granular linguistic information facilitates and improves the IRS-user interaction

Theme

Computerlinguistik
Retrievalalgorithmen

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5. Arroyo-Machado, W.; Díaz-Faes, A.A.; Herrera-Viedma, E.; Costas, R.: From academic to media capital : to what extent does the scientific reputation of universities translate into Wikipedia attention? (2024) 0.13

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