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Kinetic Human Movement Ontology: a semantic terminology model to symbolically represent physiological movement
Muhammad Amith1,2, Vivian Ha3, Eloisa Nguyen4
1Department of Biostatistics and Data Science, University of Texas Medical Branch, 301 University Blvd, Galveston, 77555, Texas, USA. muamith@utmb.edu.
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.
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