Building automatically a business registration ontology

Authors:
Melania Degeratu;Vasileios Hatzivassiloglou
Affiliations:
Columbia University, New York, NY;Columbia University, New York, NY
Venue:
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Year:
2002

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Abstract

We discuss a domain-independent, corpus based method for dictionary-less automatic extraction of ontological knowledge from domain-specific unannotated documents. We present the architecture, algorithms, and results for ONTOSTRUCT---a new system that uses machine learning and statistical techniques to analyze text sources, discover terms, link equivalent terms into concepts, learn both hierarchical and non-hierarchical conceptual relations, and build an extensive, semantically sound hierarchy of concepts. We report on ONTOSTRUCT's results in constructing a domain-specific ontology for the business registration domain, and evaluate the performance of two of its modules.