Title :
Text Retrieval Based on Dyadic Conceptual Projection
Author :
Alouane-Ksouri, Sonia ; Sassi-Hidri, Minyar ; Barkaoui, Kamel
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;
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2014 25th International Workshop on
Conference_Location :
Munich
Print_ISBN :
978-1-4799-5721-7
DOI :
10.1109/DEXA.2014.50