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CICO: Chemically Induced Carcinogenesis Ontology

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Authors

Yang, Sungmin; Joe, Hyunwhan; Yang, Sungkwon; Kim, Hong-Gee

Issue Date
2020-11
Publisher
Springer Verlag
Citation
Lecture Notes in Computer Science, Vol.12032, pp.242-254
Abstract
In vivo experiments have had a great impact on the development of biomedicine, and as a result, a variety of biomedical data is produced and provided to researchers. Standardization and ontology design were carried out for the systematic management and effective sharing of these data. As results of their efforts, useful ontologies such as the Experimental Factor Ontology (EFO), Disease Ontology (DO), Gene Ontology (GO), Chemical Entities of Biological Interest (ChEBI) were developed. However, these ontologies are not enough to provide knowledge about the experiments to researchers conducting in vivo studies. Specifically, in the experimental design process, the generation of cancer causes considerable time and research costs. Researchers conducting animal experiments need animals with signs of carcinogenesis that fits their research interests. Therefore, our study is intended to provide experimental data about inducing cancer in animals. In order to provide this data, we collect experimental data about chemical substances that cause cancer. After that, we design an ontology based on these data and link it with the Disease Ontology. Our research focuses largely on two aspects. The first is to create a knowledge graph that inter-links with other biomedical linked data. The second is to provide practical knowledge to researchers conducting in vivo experiments. In conclusion, our research is provided in the form of a web service, which makes it easy to use the SPARQL endpoint and search service.
ISSN
0302-9743
URI
https://hdl.handle.net/10371/186504
DOI
https://doi.org/10.1007/978-3-030-41407-8_16
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