FCA4J: A Java library for relational concept analysis and formal concept analysis

Gutierrez Alain, Huchard Marianne, Martin Pierre. 2022. FCA4J: A Java library for relational concept analysis and formal concept analysis. In : Proceedings of the Sixteenth International Conference on Concept Lattices and Their Applications (CLA 2022). Cordero Pablo (ed.), Krídlo Ondrej (ed.). Aachen : CEUR-WS, 207-212. (CEUR Workshop Proceedings, 3308) International Conference on Concept Lattices and their Applications (CLA 2022). 16, Tallinn, Estonie, 20 Juin 2022/22 Juin 2022.

Résumé : Formal Concept Analysis (FCA) and its extensions have shown their efficacy and relevance in various application domains. We recently conducted a set of experiments using Relational Concept Analysis and FCA in the domain of agro-ecology. This motivated the development of a library named FCA4J, which includes Java implementation of algorithms to build structures and implications and to manage data, in particular relational context families. This paper presents the main features of FCA4J, its ecosystem, and a few use cases.

Mots-clés libres : Formal concept analysis, Relational concept analysis, Software library, Java

Auteurs et affiliations

• Gutierrez Alain, LIRMM (FRA)
• Huchard Marianne, Université de Montpellier (FRA)
• Martin Pierre, CIRAD-PERSYST-UPR AIDA (FRA) ORCID: 0000-0002-4874-5795

Source : Cirad-Agritrop (https://agritrop.cirad.fr/603624/)

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