Abstract
The use of ontologies as representations of knowledge is widespread but until recently their construction has been entirely manual. We argue in this paper for the use of text corpora and automated natural language processing methods for the construction of ontologies. A method of constructing a dynamic agricultural ontology based on text mining is proposed by comparing thesaurus with ontology. First, AGROVOC is transformed into a concept schema in OWL (a web ontology language). Then, the further relations among concepts are mined from the literature subject‐indexed by AGROVOC. The problem of ontology construction is solved by this method. It is also easier to build more accurate domain ontology. At the same time the method depends less heavily on input from domain experts.
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