Evaluating the effect of annotation size on measures of semantic similarity

Maxat Kulmanov; Robert Hoehndorf

doi:10.1186/s13326-017-0119-z

Evaluating the effect of annotation size on measures of semantic similarity

Maxat Kulmanov, Robert Hoehndorf

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

Background: Ontologies are widely used as metadata in biological and biomedical datasets. Measures of semantic similarity utilize ontologies to determine how similar two entities annotated with classes from ontologies are, and semantic similarity is increasingly applied in applications ranging from diagnosis of disease to investigation in gene networks and functions of gene products.

Original language	English (US)
Journal	Journal of Biomedical Semantics
Volume	8
Issue number	1
DOIs	https://doi.org/10.1186/s13326-017-0119-z
State	Published - Feb 13 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research was supported by funding from the King Abdullah University of Science and Technology.

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10.1186/s13326-017-0119-z

https://repository.kaust.edu.sa/bitstream/10754/623323/1/art3A10.11862Fs13326-017-0119-z.pdf

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Evaluating the effect of annotation size on measures of semantic similarity

Abstract

Bibliographical note

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