Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites

@article{Navigli2004LearningDO,
  title={Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites},
  author={R. Navigli and P. Velardi},
  journal={Computational Linguistics},
  year={2004},
  volume={30},
  pages={151-179}
}
  • R. Navigli, P. Velardi
  • Published 2004
  • Computer Science
  • Computational Linguistics
  • We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies from Web sites, and more generally from documents shared among the members of virtual organizations. OntoLearn first extracts a domain terminology from available documents. Then, complex domain terms are semantically interpreted and arranged in a hierarchical fashion. Finally, a general-purpose ontology, WordNet, is trimmed and enriched with the detected domain concepts. The major novel aspect of this… CONTINUE READING
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