Datamining with Ontologies

Robert Hoehndorf; Georgios V. Gkoutos; Paul N. Schofield

doi:10.1007/978-1-4939-3572-7_19

Datamining with Ontologies

Robert Hoehndorf, Georgios V. Gkoutos, Paul N. Schofield

Research output: Chapter in Book/Report/Conference proceeding › Chapter

6 Scopus citations

Abstract

The use of ontologies has increased rapidly over the past decade and they now provide a key component of most major databases in biology and biomedicine. Consequently, datamining over these databases benefits from considering the specific structure and content of ontologies, and several methods have been developed to use ontologies in datamining applications. Here, we discuss the principles of ontology structure, and datamining methods that rely on ontologies. The impact of these methods in the biological and biomedical sciences has been profound and is likely to increase as more datasets are becoming available using common, shared ontologies.

Original language	English (US)
Title of host publication	Methods in Molecular Biology
Publisher	Springer Nature
Pages	385-397
Number of pages	13
ISBN (Print)	9781493935703
DOIs	https://doi.org/10.1007/978-1-4939-3572-7_19
State	Published - Apr 27 2016

Bibliographical note

KAUST Repository Item: Exported on 2021-12-15

ASJC Scopus subject areas

Genetics
Molecular Biology

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10.1007/978-1-4939-3572-7_19

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AU - Schofield, Paul N.

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AB - The use of ontologies has increased rapidly over the past decade and they now provide a key component of most major databases in biology and biomedicine. Consequently, datamining over these databases benefits from considering the specific structure and content of ontologies, and several methods have been developed to use ontologies in datamining applications. Here, we discuss the principles of ontology structure, and datamining methods that rely on ontologies. The impact of these methods in the biological and biomedical sciences has been profound and is likely to increase as more datasets are becoming available using common, shared ontologies.

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ER -

Datamining with Ontologies

Abstract

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ASJC Scopus subject areas

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