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Concept similarity refers to human judgment of a degree to which a pair of concepts is similar. Computational techniques attempting to imitate such judgment are called concept similarity measures. In Description Logics (DLs), we could regard them as a generalization of the classical reasoning problem of equivalence. That is, any two concepts are equivalent if and only if their similarity degree is one. When two concepts are not equivalent, the level of similarity varies depending not only on the objective factors (e.g. the structure of concept descriptions) but also on the subjective factors (i.e. the agent’s preferences). The recently introduced notion called preference profile identified a collection of preferential elements in which any developments for concept similarity measure should consider. In this paper, we briefly review approaches of identifying the subsumption degree between FL0 concept descriptions and exemplify how one can adopt the viewpoint of preference profile toward the development of concept similarity measure under the agent’s preferences in FL0. Finally, we investigate several properties of the developed measure and discuss future directions.

Concept Similarity under the Agent’s Preferences for the Description Logic FL0 with Unfoldable TBox