2010/03/07 by Abderrahim El Qadi, Qadi, Abderrahim El, Aboutajedine, Driss +2
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Rough Sets and Fuzzy Logic
paper · pdf · doi:10.48550/arxiv.1003.1494
openalex publication_date 2010/03/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper we describe a mechanism to improve Information Retrieval (IR) on the web. The method is based on Formal Concepts Analysis (FCA) that it is makes semantical relations during the queries, and allows a reorganizing, in the shape of a lattice of concepts, the answers provided by a search engine. We proposed for the IR an incremental algorithm based on Galois lattice. This algorithm allows a formal clustering of the data sources, and the results which it turns over are classified by order of relevance. The control of relevance is exploited in clustering, we improved the result by using ontology in field of image processing, and reformulating the user queries which make it possible to give more relevant documents.