Abstract
This research aims for the creation of a core biomedical ontology for chronic liver disease using UMLS as data source. As users cannot work on the accessible information by themselves due to unstructured format of biomedical data and literature, ontologies helps to create structure for the existing information. Resource description framework (RDF) is used in protégé tool for creation of schemas and on the basis of these schemas ontology is developed to describe the concepts and their respective relations within chronic liver disease. It is further evaluated by domain experts.
| Original language | English |
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| Title of host publication | CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems |
| Editors | Mohammad S. Obaidat, Zhenqiang Mi, Kuei-Fang Hsiao, Petros Nicopolitidis, Daniel Cascado-Caballero |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538640883 |
| DOIs | |
| State | Published - Aug 2019 |
| Externally published | Yes |
| Event | 2019 International Conference on Computer, Information and Telecommunication Systems, CITS 2019 - Beijing, China Duration: 28 Aug 2019 → 31 Aug 2019 |
Publication series
| Name | CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems |
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Conference
| Conference | 2019 International Conference on Computer, Information and Telecommunication Systems, CITS 2019 |
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| Country/Territory | China |
| City | Beijing |
| Period | 28/08/19 → 31/08/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Chronic Liver Disease
- Ontology
- Protégé
- RDF
- UMLS
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Information Systems
- Information Systems and Management
- Safety, Risk, Reliability and Quality
- Computer Networks and Communications
- Hardware and Architecture