Computing Inferences for Relational Bayesian Networks Based on ALC Constructs

Fabio G. Cozman; Rodrigo B. Polastro; Felipe I. Takiyama; Kate C. Revoredo

doi:10.1007/978-3-319-13413-0_2

Computing Inferences for Relational Bayesian Networks Based on ALC Constructs

Fabio G. Cozman, Rodrigo B. Polastro, Felipe I. Takiyama, Kate C. Revoredo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

© Springer International Publishing Switzerland 2014. Credal ALC combines the constructs of the well-known ALC logic with probabilistic assessments, so as to let terminologies convey uncertainty about concepts and roles. We present a restricted version of Credal ALC that can be viewed as a description language for a class of relational Bayesian networks. The resulting "CRALC networks" offer a simplified and illuminating route both to Credal ALC and to relational Bayesian networks. We then describe the implementation, in freely available packages, of approximate variational and lifted exact inference algorithms.

Original language	American English
Title of host publication	Computing Inferences for Relational Bayesian Networks Based on ALC Constructs
Pages	21-40
Number of pages	20
ISBN (Electronic)	9783319134123
DOIs	https://doi.org/10.1007/978-3-319-13413-0_2
State	Published - 1 Jan 2014
Externally published	Yes
Event	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Duration: 1 Jan 2018 → …

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8816
ISSN (Print)	0302-9743

Conference

Conference	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period	1/01/18 → …

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10.1007/978-3-319-13413-0_2

Cite this

Cozman, F. G., Polastro, R. B., Takiyama, F. I., & Revoredo, K. C. (2014). Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. In Computing Inferences for Relational Bayesian Networks Based on ALC Constructs (pp. 21-40). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8816). https://doi.org/10.1007/978-3-319-13413-0_2

Cozman, Fabio G. ; Polastro, Rodrigo B. ; Takiyama, Felipe I. et al. / Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. 2014. pp. 21-40 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Computing Inferences for Relational Bayesian Networks Based on ALC Constructs",

abstract = "{\textcopyright} Springer International Publishing Switzerland 2014. Credal ALC combines the constructs of the well-known ALC logic with probabilistic assessments, so as to let terminologies convey uncertainty about concepts and roles. We present a restricted version of Credal ALC that can be viewed as a description language for a class of relational Bayesian networks. The resulting {"}CRALC networks{"} offer a simplified and illuminating route both to Credal ALC and to relational Bayesian networks. We then describe the implementation, in freely available packages, of approximate variational and lifted exact inference algorithms.",

author = "Cozman, {Fabio G.} and Polastro, {Rodrigo B.} and Takiyama, {Felipe I.} and Revoredo, {Kate C.}",

year = "2014",

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Cozman, FG, Polastro, RB, Takiyama, FI & Revoredo, KC 2014, Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. in Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8816, pp. 21-40, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/18. https://doi.org/10.1007/978-3-319-13413-0_2

Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. / Cozman, Fabio G.; Polastro, Rodrigo B.; Takiyama, Felipe I. et al.

Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. 2014. p. 21-40 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8816).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - © Springer International Publishing Switzerland 2014. Credal ALC combines the constructs of the well-known ALC logic with probabilistic assessments, so as to let terminologies convey uncertainty about concepts and roles. We present a restricted version of Credal ALC that can be viewed as a description language for a class of relational Bayesian networks. The resulting "CRALC networks" offer a simplified and illuminating route both to Credal ALC and to relational Bayesian networks. We then describe the implementation, in freely available packages, of approximate variational and lifted exact inference algorithms.

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Cozman FG, Polastro RB, Takiyama FI, Revoredo KC. Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. In Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. 2014. p. 21-40. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-13413-0_2

Computing Inferences for Relational Bayesian Networks Based on ALC Constructs

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