In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
Template-driven HTML documents posses an implicit, fixed schema denoting concepts and their relationships in a hierarchical fashion. Discovering this schema remains a relatively ...
Saikat Mukherjee, Guizhen Yang, Wenfang Tan, I. V....
In this paper, we focus on the ontological concept extraction and evaluation process from HTML documents. In order to improve this process, we propose an unsupervised hierarchical...
Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in con...
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...