The project aims to develop algorithms and techniques that can be useful to learn statistical relational representations from large databases. The output of this work will a set of freely available datasets: preferred domains are in Biology and in Social Networks; a methodology for ILP-based learning in these algorithms; a set of learning modules for SRL systems; and the systematic evaluation of all these techniques in the chosen datasets plus other well-known datasets.
Ongoing since January 2010, concludes in December 2012.
Participating entity: INESC Porto.
Principal researcher: Vitor Santos-Costa.
Funding entity: Fundação Ciência e Tecnologia (MCTES).
Principal researcher: Salvador Abreu.