LatViz: A New Practical Tool for Performing Interactive Exploration over Concept Lattices

Mehwish Alam (1) , Thi Nhu Nguyen Le (1) , Amedeo Napoli (1)

1 ORPAILLEUR - Knowledge representation, reasonning

With the increase in Web of Data (WOD) many new challenges regarding exploration, interaction, analysis and discovery have surfaced. One of the basic building blocks of data analysis is classification. Many studies have been conducted concerning Formal Concept Analysis (FCA) and its variants over WOD. But one fundamental question is, after these concept lattices are obtained on top of WOD, how the user can interactively explore and analyze this data through concept lattices. To achieve this goal, we introduce a new tool called as LatViz, which allows the construction of concept lattices and their navigation. LatViz proposes some remarkable improvements over existing tools and introduces various new functionalities such as interaction with expert, visualization of Pattern Structures, AOC posets, concept annotations, filtering concept lattice based on several criteria and finally, an intuitive visualization of implications. This way the user can effectively perform an interactive exploration over a concept lattice which is a basis for a strong user interaction with WOD for data analysis.

Mots clés: Lattice Visualization; Interactive Exploration; Web of Data; For- mal Concept Analysis

Domaines: Recherche d'information [cs.IR]

Mehwish Alam, Thi Nhu Nguyen Le, Amedeo Napoli. LatViz: A New Practical Tool for Performing Interactive Exploration over Concept Lattices. CLA 2016 - Thirteenth International Conference on Concept Lattices and Their Applications , Jul 2016, Moscow, Russia. ⟨hal-01420751⟩