DocumentCode
174888
Title
Text Retrieval Based on Dyadic Conceptual Projection
Author
Alouane-Ksouri, Sonia ; Sassi-Hidri, Minyar ; Barkaoui, Kamel
fYear
2014
fDate
1-5 Sept. 2014
Firstpage
198
Lastpage
202
Abstract
This work exploits the use of Triadic Concept Analysis (TCA) for document retrieval to efficiently answer users´ queries. The proposed conceptual analysis aims at describing the documents according to three hierarchical levels with a triadic computing model. It is based on normalisation and prototyping, which, by projection, induce a formal dyadic context. This representation has enabled us to visualize triadic concepts associated with the documents, sentences and words through the construction of fuzzy concept lattice. The lattices generated are then used to organize documents in a hierarchical structure to facilitate retrieval process.
Keywords
fuzzy set theory; question answering (information retrieval); text analysis; TCA; conceptual analysis; document retrieval; dyadic conceptual projection; formal dyadic context; fuzzy concept lattice; hierarchical levels; normalisation; prototyping; text retrieval; triadic computing model; triadic concept analysis; triadic concept visualization; user query answering; Algorithm design and analysis; Clustering algorithms; Computational modeling; Conferences; Context; Lattices; Text analysis; Cosimilarities; Document Retrieval; Fuzzy clustering; Galois lattice; Triadic Concepts Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications (DEXA), 2014 25th International Workshop on
Conference_Location
Munich
ISSN
1529-4188
Print_ISBN
978-1-4799-5721-7
Type
conf
DOI
10.1109/DEXA.2014.50
Filename
6974849
Link To Document