A FCA-based Approach for Concept Similarity Computation
Su Deng · Mohu xitong yu shuxue · 2008
In order to increase the precision of similarity computation based on traditional feature model, a new FCA-based concept similarity computational method is proposed. The attributes of classes in different ontologies is organized in a partial order set by means of a thesaurus, then the corresponding formal context and concept lattice is created. A new similarity computational model based on concept lattice is introduced, which allow us to compute concept similarity according to the meet-irreducible elements. The result of the experiment proves the FCA-based method can improve the precision of computation.