2026-06-29T15:18:00Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1310292026-01-27T00:52:35Zcom_20.500.14352_14col_20.500.14352_15

Measuring similarity of individuals in description logics over the refinement space of conjunctive queries Sánchez Ruiz-Granados, Antonio Alejandro Ontañón Santiago González Calero, Pedro Antonio Plaza Enric Inteligencia artificial (Informática) 1203.04 Inteligencia Artificial Similarity assessment is a key operation in several areas of artificial intelligence. This paper focuses on measuring similarity in the context of Description Logics (DL), and specifically on similarity between individuals. The main contribution of this paper is a novel approach based on measuring similarity in the space of Conjunctive Queries, rather than in the space of concepts. The advantage of this approach is two fold. On the one hand, it is independent of the underlying DL and therefore there is no need to design similarity measures for different DL, and, on the other hand, the approach is computationally more efficient than searching in the space of concepts. Depto. de Ingeniería de Software e Inteligencia Artificial (ISIA) Fac. de Informática TRUE pub 2026-01-26T15:31:23Z 2026-01-26T15:31:23Z 2015-08-02 journal article VoR https://hdl.handle.net/20.500.14352/131029 XXXX-XXXX 10.1007/s10844-015-0374-3 eng Antonio A. Sánchez-Ruiz, Santiago Ontañón, Pedro A. González-Calero, Enric Plaza: Measuring similarity of individuals in description logics over the refinement space of conjunctive queries. J. Intell. Inf. Syst. 47(3): 447-467 (2016) open access application/pdf Springer Nature