Interactive Exploration over RDF Data using Formal Concept Analysis

Mehwish Alam (1) , Amedeo Napoli (1)

1 ORPAILLEUR - Knowledge representation, reasonning

With an increased interest in machine processable data, many datasets are now published in RDF (Resource Description Framework) format in Linked Data Cloud. These data are distributed over independent resources which need to be centralized and explored for domain specific applications. This paper proposes a new approach based on interactive data exploration paradigm using Pattern Structures, an extension of Formal Concept Analysis, to provide exploration and navigation over Linked Data through concept lattices. It takes RDF triples and RDF Schema based on user requirements and provides one navigation space resulting from several RDF resources. This navigation space allows user to navigate and search only the part of data that is interesting for her.

Mots clés: Linked Open Data; Pattern Structures; RDF

Domaines: Recherche d'information [cs.IR]

Mehwish Alam, Amedeo Napoli. Interactive Exploration over RDF Data using Formal Concept Analysis. Proceedings of IEEE International Conference on Data Science and Advanced Analytics, Aug 2015, Paris, France. ⟨10.1109/DSAA.2015.7344838⟩. ⟨hal-01186335⟩