Datamining with Ontologies

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

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations


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 languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherSpringer Nature
Number of pages13
ISBN (Print)9781493935703
StatePublished - Apr 27 2016

Bibliographical note

KAUST Repository Item: Exported on 2021-12-15

ASJC Scopus subject areas

  • Genetics
  • Molecular Biology


Dive into the research topics of 'Datamining with Ontologies'. Together they form a unique fingerprint.

Cite this