Leveraging Horizontal Density Differences between Ontologies to Identify Missing Child Concepts: A Proof of Concept
Document Type
Article
Publication Date
1-1-2018
Abstract
Previously, we investigated pairs of ontologies with local similarities where corresponding "is-a" paths are of different lengths. This indicated the possibility of importing concepts from one ontology into the other. We referred to such structures as diamonds of concepts. In this paper, we address the question whether pairs of identical concepts in pairs of ontologies have the same children in both. Separate reviews of SNOMED CT and NCIt relative to eight other ontologies uncovered differences in child sets. We provide quantitative data concerning these differences. In cases where there are many identical children in two ontologies, the questions arise why one has more children and whether these children are "missing" in the other ontology. We performed randomized controlled trials in which a human expert evaluated the "fit for import" of such potentially missing child concepts. In two out of four studies, statistical significance was achieved in support of algorithmic import.
Identifier
85062376999 (Scopus)
Publication Title
AMIA Annual Symposium Proceedings AMIA Symposium
e-ISSN
1942597X
PubMed ID
30815106
First Page
644
Last Page
653
Volume
2018
Grant
R01CA190779
Fund Ref
National Cancer Institute
Recommended Citation
Keloth, Vipina K.; He, Zhe; Chen, Yan; and Geller, James, "Leveraging Horizontal Density Differences between Ontologies to Identify Missing Child Concepts: A Proof of Concept" (2018). Faculty Publications. 9038.
https://digitalcommons.njit.edu/fac_pubs/9038
