Learning terminologies in probabilistic description logics

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

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

5 Citas (Scopus)

Resumen

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.
Idioma originalInglés estadounidense
Título de la publicación alojadaLearning terminologies in probabilistic description logics
Páginas41-50
Número de páginas10
ISBN (versión digital)3642161375, 9783642161377
DOI
EstadoPublicada - 1 ene 2010
Publicado de forma externa
EventoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duración: 1 ene 2018 → …

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen6404 LNAI
ISSN (versión impresa)0302-9743

Conferencia

ConferenciaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Período1/01/18 → …

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    Revoredo, K., Ochoa-Luna, J. E., & Cozman, F. G. (2010). Learning terminologies in probabilistic description logics. En Learning terminologies in probabilistic description logics (pp. 41-50). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6404 LNAI). https://doi.org/10.1007/978-3-642-16138-4_5