Abstract
Cataloging physiological and anatomical terminologies may provide a fundamental basis for bridging the involvement of muscles, skeletal, and other essential parts in human movement, in addition to understanding their role on human morbidity. We present a general formalized ontology model that focuses on anatomical and physiological entities that are active during human movement, called the Kinetic Human Movement Ontology (KHMO). We developed a model to represent human movement that links human postures using OWL2. We used the model to assemble various open-sourced controlled terminologies involved in human movement - anatomical entities, physiological terms, etc. KHMO presents 1954 classes, 42 properties, and 1921 logical axioms, and passed logical satisfiability and consistency tests. Compared to physical activity-related ontologies, KHMO exhibited high semiotic quality, including high domain coverage. KHMO is publicly available as an open-source resource on our GitHub repository, and we provide software for data management of our ontology model. We envision furthering the research of our work to interoperate with human data movement and for data curation and harmonization endeavors.
| Original language | English (US) |
|---|---|
| Article number | 696 |
| Journal | Scientific Data |
| Volume | 13 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 2026 |
ASJC Scopus subject areas
- Statistics and Probability
- Information Systems
- Education
- Computer Science Applications
- Statistics, Probability and Uncertainty
- Library and Information Sciences
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