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Journal article
Measuring similarity of individuals in description logics over the refinement space of conjunctive queries
Journal of intelligent information systems, v 47(3), pp 447-467
01 Dec 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
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Details
- Title
- Measuring similarity of individuals in description logics over the refinement space of conjunctive queries
- Creators
- Antonio A. Sanchez-Ruiz - Complutense University of MadridSantiago Ontanon - Drexel UniversityPedro A. Gonzalez-Calero - Complutense University of MadridEnric Plaza - Research Institute for Artificial Intelligence
- Publication Details
- Journal of intelligent information systems, v 47(3), pp 447-467
- Publisher
- Springer Nature
- Number of pages
- 21
- Grant note
- TIN2014-55006-R / Spanish Government project PerSO TIN2012-38450-C03-03 / Spanish Government project Cognitio
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000388624900005
- Scopus ID
- 2-s2.0-84938614365
- Other Identifier
- 991019167836504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems