ENHANCEMENT OF WORDNET SEARCH FOR HUMAN ANATOMY ONTOLOGY VIA PREFSYN MODEL

ENHANCEMENT OF WORDNET SEARCH FOR HUMAN ANATOMY ONTOLOGY VIA PREFSYN MODEL

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The aim of this study is to develop a PrefSyn model to enhance the WordNet search for human anatomy ontology. To achieve this aim, the following objectives are realized.        i.            To develop an extraction algorithm for FMA terms.      ii.            To design a prefsyn model for FMA terms in wordnet.   iii.            To implement the proposed system with nltk as API using python.
  1. To test the enhanced WordNet for FMA terms to be able to lookup prefixed anatomical terms.




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