Similarity measures on concept lattices

Florent Domenach, George Portides

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper falls within the framework of Formal Concept Analysis which provides classes (the extents) of objects sharing similar characters (the intents), a description by attributes being associated to each class. In a recent paper by the first author, a new similarity measure between two concepts in a concept lattice was introduced, allowing for a normalization depending on the size of the lattice. In this paper, we compare this similarity measure with existing measures, either based on cardinality of sets or originating from ontology design and based on the graph structure of the lattice. A statistical comparison with existing methods is carried out, and the output of the measure is tested for consistency.

Original languageEnglish
Title of host publicationAnalysis of Large and Complex Data
PublisherKluwer Academic Publishers
Pages159-169
Number of pages11
ISBN (Print)9783319252247
DOIs
Publication statusPublished - 2016
Event2nd European Conference on Data Analysis, ECDA 2014 - Bremen, Germany
Duration: 2 Jul 20144 Jul 2014

Other

Other2nd European Conference on Data Analysis, ECDA 2014
Country/TerritoryGermany
CityBremen
Period2/07/144/07/14

Fingerprint

Dive into the research topics of 'Similarity measures on concept lattices'. Together they form a unique fingerprint.

Cite this