|Semantic Similarity and Relatedness|
The goal of this research is to explore semantic similarity and
relatedness measures to automatically determine the similarity
or relatedness between biomedical and clinical concepts.
This package provides a Perl interface to the Unified Medical
Language System (UMLS). The UMLS is a knowledge representation
framework encoded designed to support broad scope biomedical
research queries. There exists three major sources in the UMLS.
The Metathesaurus which is a taxonomy of medical concepts, the
Semantic Network which categorizes concepts in the Metathesaurus,
and the SPECIALIST Lexicon which contains a list of biomedical
and general English terms used in the biomedical domain. The
UMLS-Interface package is set up to access the Metathesaurus
and the Semantic Network present in a mysql database.
UMLS-Similarity This package is a suite of Perl modules that implement a number of semantic similarity measures. The measures use the UMLS-Interface module to access the UMLS to generate similarity scores between concepts. Currently, this package includes programs that implement the similarity measures described by Leacock & Chodorow (1998), Wu & Palmer (1994), Nguyen & Al-Mubaid (2006), Rada, et. al. (1989), Jiang & Conrath (1997), Resnik (1995) and Lin (1998), and the relatedness measures proposed by Banerjee & Pedersen (2002), Patwardhan (2003).
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The contents of this page have not been reviewed or approved by the University of Minnesota.