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.
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- To test the enhanced WordNet for FMA terms to be able to lookup prefixed anatomical terms.
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