Authors:
Teeradaj Racharak
1
;
Boontawee Suntisrivaraporn
2
and
Satoshi Tojo
3
Affiliations:
1
Sirindhorn International Institute of Technology and Japan Advanced Institute of Science and Technology, Thailand
;
2
Sirindhorn International Institute of Technology, Thailand
;
3
Japan Advanced Institute of Science and Technology, Japan
Keyword(s):
Concept Similarity Measures, Non-standard Reasoning Services, Preference Profile, Description Logics.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Ontologies
;
Formal Methods
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation and Reasoning
;
Knowledge-Based Systems
;
Ontologies
;
Semantic Web
;
Simulation and Modeling
;
Soft Computing
;
Symbolic Systems
Abstract:
In Description Logics (DLs), concept similarity measures (CSMs) aim at identifying a degree of commonality between two given concepts and are often regarded as a generalization of the classical reasoning problem of equivalence. That is, any two concepts are equivalent if their similarity degree is one, and vice versa. When two concepts are not equivalent, the level of similarity varies depending not only on the objective factors (i.e. the concept descriptions) but also on the subjective factors (i.e. the agent’s preferences). This work presents the notion of a general preference profile to be used in existing similarity measures and exemplifies its applicability with the similarity measure for the DL ELH , called simπ . We show that our measure is expressible for all aspects of preference profile and prove that simπ is preference-invariant w.r.t. equivalence, i.e. similarity between two equivalent concepts is always one regardless of agents’ preferences.