Steps Towards Interactive Formal Concept Analysis with LatViz

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 LatViz, which implements several algorithms for constructing concept lattices and allows further navigation over lattice structure. 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. Steps Towards Interactive Formal Concept Analysis with LatViz. Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence ECAI 2016, Aug 2016, The Hague, Netherlands. ⟨hal-01420753⟩