WordNet-based Semantic Similarity
This service is a fast implementation of the Wu & Palmer similarity measure, as described, e.g., in: http://blog.thedigitalgroup.com/:
The Wu & Palmer calculates relatedness by considering the depths of the two synsets in the WordNet taxonomies, along with the depth of the LCS (Least Common Subsumer). The formula is:
WordnNet-distance uses in-memory Jena triplestore with its embedded Lucene library. It requires a specifically compiled out version of the WordNet RDF graph, which is supplied within the GitHub repository.
[Compute the similarity]
Semantic similarity and sense disambiguation
As a by-product of the similarity computation, the algorithm effectively
disambiguates the meanings of the two words to the ones that maximize the value of the meassure.
For instance, the word "