CICO: Chemically Induced Carcinogenesis Ontology
| Autor: | Hyunwhan Joe, Hong-Gee Kim, Sungmin Yang, Sung-Kwon Yang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Experimental factor ontology business.industry Computer science Experimental data computer.file_format Linked data Ontology (information science) computer.software_genre Data science 03 medical and health sciences 0302 clinical medicine Disease Ontology SPARQL Web service business computer 030217 neurology & neurosurgery Biomedicine 030304 developmental biology |
| Zdroj: | Semantic Technology ISBN: 9783030414061 JIST |
| DOI: | 10.1007/978-3-030-41407-8_16 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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