ONTOLOGY LEARNING USING WORDNET LEXICON
Current Semantic Web community has popularized ontology research. However, ontology building by hand has proven to be a very hard and error-prone task and become the bottleneck of ontology acquiring process. WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics. The paper proposes an ontology learning approach, which uses WordNet lexicon resources to build a standard OWL ontology model. The approach will help the automation of ontology building and be very useful in ontology-based applications.
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