An Automatic Method for Constructing Domain-Specific Ontology Resources
Melania Degeratu, Vasileios Hatzivassiloglou · 2004
Data flow across multiple independent applications and further natural language analysis both require the establishment of a common foundation of terms and relations.Such a foundation can provide in-depth understanding of term equivalence within a domain sublanguage, and serve as a model of concept relations and dependencies.In this paper 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 system that uses machine learning and statistical techniques to analyze text sources, discover terms, link equivalent terms into concepts, and learn both hierarchical and non-hierarchical conceptual relations.We report on ONTOSTRUCT's results in constructing domain-specific ontological resources and empirical evaluation of their quality.