Type
Book ChapterProtocol
KAUST Department
Bio-Ontology Research Group (BORG)Computational Bioscience Research Center (CBRC)
Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Date
2016-04-27Permanent link to this record
http://hdl.handle.net/10754/668674
Metadata
Show full item recordAbstract
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.Citation
Hoehndorf, R., Gkoutos, G. V., & Schofield, P. N. (2016). Datamining with Ontologies. Data Mining Techniques for the Life Sciences, 385–397. doi:10.1007/978-1-4939-3572-7_19Publisher
Springer NatureISBN
97814939357039781493935727
PubMed ID
27115643Additional Links
https://link.springer.com/protocol/10.1007%2F978-1-4939-3572-7_19ae974a485f413a2113503eed53cd6c53
10.1007/978-1-4939-3572-7_19
Scopus Count
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