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CRCTOL: A semantic-based domain ontology learning system
2009
Journal of the American Society for Information Science and Technology
Domain ontologies play an important role in supporting knowledge-based applications in the Semantic Web. To facilitate the building of ontologies, text mining techniques have been used to perform ontology learning from texts. However, traditional systems employ shallow natural language processing techniques and focus only on concept and taxonomic relation extraction. In this paper we present a system, known as Concept-Relation-Concept Tuple-based Ontology Learning (CRCTOL), for mining
doi:10.1002/asi.21231
fatcat:ysq47lk6yjdgdin7n6j4kce374