Loopy propagation in a probabilistic description logic

Fabio Gagliardi Cozman, Rodrigo Bellizia Polastro

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

12 Citas (Scopus)

Resumen

This paper introduces a probabilistic description logic that adds probabilistic inclusions to the popular logic ALC, and derives inference algorithms for inference in the logic. The probabilistic logic, referred to as crALC ("credal" ALC), combines the usual acyclicity condition with a Markov condition; in this context, inference is equated with calculation of (bounds on) posterior probability in relational credal/Bayesian networks. As exact inference does not seem scalable due to the presence of quantifiers, we present first-order loopy propagation methods that seem to behave appropriately for non-trivial domain sizes. © 2008 Springer-Verlag.
Idioma originalInglés estadounidense
Título de la publicación alojadaLoopy propagation in a probabilistic description logic
Páginas120-133
Número de páginas14
ISBN (versión digital)3540879927, 9783540879923
DOI
EstadoPublicada - 1 dic 2008
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)
Volumen5291 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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    Cozman, F. G., & Polastro, R. B. (2008). Loopy propagation in a probabilistic description logic. En Loopy propagation in a probabilistic description logic (pp. 120-133). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5291 LNAI). https://doi.org/10.1007/978-3-540-87993-0_11