Learning concept hierarchies from textual resources for ontologies construction
An approach for learning concept hierarchies from textual resources is proposed. Subjectverbobject relations are used for identifying nouns. A clustering algorithm and linguistic patterns are applied for identifying concepts. The Web is used for learning hypernym/hyponym relations between concepts. The obtained concept hierarchies can be used for developing ontologies from scratch.
ontology learning taxonomy web search