A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2007

A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data

Amedeo Napoli
Petko Valtchev

Abstract

Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations of the classical FCA methodology for handling contexts holding on complex data formats, e.g. graph-based or relational data. In this paper, relational concept analy- sis (RCA) is proposed, as an adaptation of FCA for analyzing ob jects described both by binary and relational attributes. The RCA process takes as input a collection of contexts and of inter-context relations, and yields a set of lattices, one per context, whose concepts are linked by relations. Moreover, a way of representing the concepts and relations ex- tracted with RCA is proposed in the framework of a description logic. The RCA process has been implemented within the Galicia platform, offering new and efficient tools for knowledge and software engineering.
Fichier principal
Vignette du fichier
hacene-icfca-07.pdf (548.42 Ko) Télécharger le fichier
Loading...

Dates and versions

lirmm-00163364 , version 1 (17-07-2007)

Identifiers

  • HAL Id : lirmm-00163364 , version 1

Cite

Amine Mohamed Rouane Hacene, Marianne Huchard, Amedeo Napoli, Petko Valtchev. A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data. ICFCA'07: 5th International Conference Formal Concept Analysis, Feb 2007, Clermont-Ferrand, France, France. pp.51-65. ⟨lirmm-00163364⟩
460 View
1468 Download

Share

Gmail Facebook X LinkedIn More