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Ontology-Based Information Extraction under a Bootstrapping Approach
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Author(s): Elias Iosif (National Center for Scientific Research (NCSR) “Demokritos”, Greece), Georgios Petasis (National Center for Scientific Research (NCSR) “Demokritos”, Greece)and Vangelis Karkaletsis (National Center for Scientific Research (NCSR) “Demokritos”, Greece)
Copyright: 2012
Pages: 21
Source title:
Semi-Automatic Ontology Development: Processes and Resources
Source Author(s)/Editor(s): Maria Teresa Pazienza (University of Roma Tor Vergata, Italy)and Armando Stellato (University of Roma Tor Vergata, Italy)
DOI: 10.4018/978-1-4666-0188-8.ch001
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Abstract
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.
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