Building Automatically a Business Registration Ontology
نویسندگان
چکیده
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.
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