Rich lexica such as WordNet are valuable resources for information extraction from unstructured text. When extraction techniques have formal ontologies as their targets, a mapping from the lexicon to the ontology has been shown to be beneficial in sense disambiguation and usability of the extracted knowledge. Such mappings are generally established manually, which can be a costly procedure if either the lexicon or the ontology is large. This paper describes an approach to accelerate this mapping process via automation using WordNet as the lexicon and a variety of standard ontologies. Times required to create useful mappings are measured across various parameterizations.
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