Learning terminologies in probabilistic description logics

Kate Revoredo, José Eduardo Ochoa-Luna, Fabio Gagliardi Cozman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper investigates learning methods where the target language is the recently proposed probabilistic description logic cr . We start with an inductive logic programming algorithm that learns logical constructs; we then develop an algorithm that learns probabilistic constructs by searching for conditioning concepts, using examples given as interpretations. Issues on learning from entailments are also examined, and practical examples are discussed. © 2010 Springer-Verlag.
Original languageAmerican English
Title of host publicationLearning terminologies in probabilistic description logics
Pages41-50
Number of pages10
ISBN (Electronic)3642161375, 9783642161377
DOIs
StatePublished - 1 Jan 2010
Externally publishedYes
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2018 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6404 LNAI
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/18 → …

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