Welcome to the InfoSci Platform
Reference Hub7
Concept Induction in Description Logics Using Information-Theoretic Heuristics

Concept Induction in Description Logics Using Information-Theoretic Heuristics

Nicola Fanizzi
Copyright: © 2011 |Volume: 7 |Issue: 2 |Pages: 22
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781613509845|DOI: 10.4018/jswis.2011040102
Cite Article Cite Article

MLA

Fanizzi, Nicola. "Concept Induction in Description Logics Using Information-Theoretic Heuristics." IJSWIS vol.7, no.2 2011: pp.23-44. http://doi.org/10.4018/jswis.2011040102

APA

Fanizzi, N. (2011). Concept Induction in Description Logics Using Information-Theoretic Heuristics. International Journal on Semantic Web and Information Systems (IJSWIS), 7(2), 23-44. http://doi.org/10.4018/jswis.2011040102

Chicago

Fanizzi, Nicola. "Concept Induction in Description Logics Using Information-Theoretic Heuristics," International Journal on Semantic Web and Information Systems (IJSWIS) 7, no.2: 23-44. http://doi.org/10.4018/jswis.2011040102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This paper presents an approach to ontology construction pursued through the induction of concept descriptions expressed in Description Logics. The author surveys the theoretical foundations of the standard representations for formal ontologies in the Semantic Web. After stating the learning problem in this peculiar context, a FOIL-like algorithm is presented that can be applied to learn DL concept descriptions. The algorithm performs a search through a space of candidate concept definitions by means of refinement operators. This process is guided by heuristics that are based on the available examples. The author discusses related theoretical aspects of learning with the inherent incompleteness underlying the semantics of this representation. The experimental evaluation of the system DL-Foil, which implements the learning algorithm, was carried out in two series of sessions on real ontologies from standard repositories for different domains expressed in diverse description logics.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.