Title: Statistical relational learning using ProbLog
Authors: De Raedt, Luc
Issue Date: May-2013
Publisher: CEUR
Host Document: Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data vol:992 pages:1-1
Series Title: CEUR Workshop Proceedings
Conference: Know@Lod edition:2 location:Montpellier date:26 May 2013
Abstract: This talk shall introduce the field of statistical relational
learning, which is concerned with the use of expressive relational representations,
reasoning about uncertainty and learning. Techniques in
this domain are well suited for addressing some of the challenges of the
I shall illustrate several of the issues using the probabilistic Prolog system
called ProbLog that was developed over the past few years in Leuven.
I shall use ProbLog to illustrate issues concerning the representation of
semantic knowledge, the challenge of inference and methods for the learning
of parameters and rules. Furthermore, some applications in biological
network mining and analysis will be presented.
Description: Invited talk
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Informatics Section

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