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RCAviz: Visualizing and exploring relational conceptual structures

Muller E., Huchard M., Martin P., Poncelet P., Sallaberry A.. 2022. In : Cordero Pablo (ed.), Krídlo Ondrej (ed.). Proceedings of the Sixteenth International Conference on Concept Lattices and Their Applications (CLA 2022). Aachen : CEUR-WS, p. 133-146. (CEUR Workshop Proceedings, 3308). International Conference on Concept Lattices and their Applications (CLA 2022). 16, 2022-06-20/2022-06-22, Tallinn (Estonie).

Formal Concept Analysis (FCA) aims at classifying a set of objects described by Boolean attributes as a concept lattice. Among the various FCA extensions, Relational Concept Analysis (RCA) supports multiple binary relationships between several sets of objects. Using such relational data, RCA builds interconnected conceptual structures, i.e. concept lattices or AOC-posets. Analyzing data can benefit from exploring these interconnected structures by navigating from one concept to another. Navigation can be performed within the same structure through the classification links or from one concept of a conceptual structure to a concept of another one through one of the relations linking the lattices. This paper presents RCAviz1, an online tool which aims to support such navigation. Once the user has selected a subset of objects and attributes as a starting point for navigation, RCAviz presents the associated concept and its close neighbors. Each concept includes the objects and attributes it introduces. The user can then navigate, i.e. zoom and pan the current view, and move from one concept to another. Additional views show the previous and next conceptual structures. The history allows the user to browse its navigation.

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