Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2013 Nov 16:2013:1512-21.
eCollection 2013.

A literature-based assessment of concept pairs as a measure of semantic relatedness

Affiliations
Comparative Study

A literature-based assessment of concept pairs as a measure of semantic relatedness

T Elizabeth Workman et al. AMIA Annu Symp Proc. .

Abstract

The semantic relatedness between two concepts, according to human perception, is domain-rooted and reflects prior knowledge. We developed a new method for semantic relatedness assessment that reflects human judgment, utilizing semantic predications extracted from PubMed citations by SemRep. We compared the new method to other approaches utilizing path-based, statistical, and context vector methods, using a gold standard for evaluation. The new method outperformed all others, except one variation of the context vector technique. These findings have implications in several natural language processing applications, such as serendipitous knowledge discovery.

PubMed Disclaimer

Similar articles

Cited by

References

    1. Pedersen T, Pakhomov SV, Patwardhan S, Chute CG. Measures of semantic similarity and relatedness in the biomedical domain. J Biomed Inform. 2007 Jun;40(3):288–99. - PubMed
    1. Resnik P. Using information content to evaluate semantic similarity in a taxonomy. IJCAI’95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1; 1995.
    1. Thompson-Schill SL, Kurtz KJ, Gabrieli JDE. Effects of semantic and associative relatedness on automatic priming. J Mem Lang. 1998;38(4):440–58.
    1. Rindflesch TC, Fiszman M, Libbus B. Semantic interpretation for the biomedical research literature. In: Chen H, Fuller S, Hersh W, Friedman C, editors. Medical informatics: Knowledge management and data mining in biomedicine. New York: NY: Springer; 2005. pp. 399–422.
    1. Saruladha K, Aghila G, Raj S, editors. A survey of semantic similarity methods for ontology based information retrieval. 2010 The 2nd International Conference on Machine Learning and Computing, ICMLC 2010; February 9, 2010 – February 11, 2010; Bangalore, India: IEEE Computer Society; 2010.

Publication types

LinkOut - more resources