On the Efficient Execution of ProbLog Programs

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2008

Autores

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

Ata de Conferência Internacional

Título: LOGIC PROGRAMMING, PROCEEDINGS

Páginas: 175-189

24th International Conference on Logic Programming (ICLP)

Udine, ITALY, DEC 09-13, 2008

Indexação

ISI Web of Knowledge - 31 Citações

Scopus - 48 Citações

Classificação Científica

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

Outras Informações

ID Authenticus: P-005-5P5

DOI: 10.1007/978-3-540-89982-2_22

Abstract (EN): The past few years have seen a surge of interest in the field of probabilistic logic learning or 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 mutually independent probabilities that they 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, bind evaluate their performance in the context of large networks of biological entities.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15