Abstract
Ontologies are important components of many health-information systems. The Chemical Entities of Biological Interest (ChEBI) ontology has become a standard reference for chemicals appearing in biological contexts. As such, assuring the quality of its content is imperative. In fact, ChEBI has a dedicated Web page at which errors and inconsistencies in its concepts can be reported. A study of the correctness of a random sample of ChEBI concepts is carried out. The results show that quite a large number of ChEBI concepts suffer from some kind of problematic modeling. For example, we found that 15.5% of the sample concepts exhibited severe errors of commission, including incorrect hierarchical (is a) and lateral relationships. Errors of omission were also prevalent. The overall results of our quality-assurance (QA) study are presented. Suggestions for enhancing the QA processes in place for ChEBI are discussed.
| Original language | English (US) |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 1747 |
| State | Published - 2016 |
| Event | 2016 Joint International Conference on Biological Ontology and BioCreative - Food, Nutrition, Health and Environment for the 9 Billion, ICBO-BioCreative 2016 - Corvallis, United States Duration: Aug 1 2016 → Aug 4 2016 |
All Science Journal Classification (ASJC) codes
- General Computer Science
Keywords
- ChEBI
- Chemical concept
- Chemical ontology
- Error distribution
- Modeling error
- Quality assurance