Ontology-Based Information Extraction under a Bootstrapping Approach
Elias Iosif, Georgios Petasis, Vangelis Karkaletsis · IGI Global eBooks · 2012
The authors present an ontology-based information extraction process, which operates in a bootstrapping framework. The novelty of this approach lies in the continuous semantics extraction from textual content in order to evolve the underlying ontology, while the evolved ontology enhances in turn the information extraction mechanism. This process was implemented in the context of the R&D project BOEMIE1. The BOEMIE system was evaluated on the athletics domain.