On the Implementation of the Probabilistic Logic Programming Language ProbLog

• Tipo: Artigo em Revista Científica Internacional
• Data: 2010

Autores

Angelika Kimmig (Autor) Outra; Bart Demoen (Autor) Outra; Luc De Raedt (Autor) Outra; Vitor Costa (Autor) FCUP; Ricardo Rocha (Autor) FCUP

Revista

Título: Theory and Practice of Logic Programming

ISSN: 1471-0684

Editora: Cambridge University Press

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Físicas > Ciência de computadores > Programação

Outras Informações

Abstract (EN): The past few years have seen a surge of interest in the field of probabilistic logic learning and statistical relational learning. In this endeavor, many probabilistic logics have been developed. ProbLog is a recent probabilistic extension of Prolog motivated by the mining of large biological networks. In ProbLog, facts can be labeled with probabilities. These facts are treated as mutually independent random variables that indicate whether these facts belong to a randomly sampled program. Different kinds of queries can be posed to ProbLog programs. We introduce algorithms that allow the efficient execution of these queries, discuss their implementation on top of the YAP-Prolog system, and evaluate their performance in the context of large networks of biological entities.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: 28 pages. - Subjects: Programming Languages (cs.PL); Learning (cs.LG); Logic in Computer Science (cs.LO). - Disponível no Computing Research Repository, Vol. abs/1006.4442, em: http://arxiv.org/PS_cache/arxiv/pdf/1006/1006.4442v1.pdf