Employing knowledge patterns for auditing the Foundational Model of Anatomy

Melissa D. Clarkson; Steven Roggenkamp

doi:10.1109/BIBM47256.2019.8983410

Employing knowledge patterns for auditing the Foundational Model of Anatomy

Melissa D. Clarkson
, Steven Roggenkamp

Internal Medicine

Producción científica: Conference contribution › revisión exhaustiva

1 Cita (Scopus)

Resumen

We introduce an approach to auditing ontologies based on knowledge patterns. These patterns make explicit the correspondence between the domain being modeled and the representation used within the model. In this work, we first construct anatomical knowledge patterns relevant to the musculoskeletal system and then use the patterns as guides to retrieve content from the Foundational Model of Anatomy. By examining the results of the content retrievals, we demonstrate how our approach can be employed for ontology auditing and quality assurance efforts.

Idioma original	English
Título de la publicación alojada	Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
Editores	Illhoi Yoo, Jinbo Bi, Xiaohua Tony Hu
Páginas	1941-1947
Número de páginas	7
ISBN (versión digital)	9781728118673
DOI	https://doi.org/10.1109/BIBM47256.2019.8983410
Estado	Published - nov 2019
Evento	2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 - San Diego, United States Duración: nov 18 2019 → nov 21 2019

Serie de la publicación

Nombre	Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

Conference

Conference	2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
País/Territorio	United States
Ciudad	San Diego
Período	11/18/19 → 11/21/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Good health and well being

ASJC Scopus subject areas

Biochemistry
Biotechnology
Molecular Medicine
Modeling and Simulation
Health Informatics
Pharmacology (medical)
Public Health, Environmental and Occupational Health

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10.1109/BIBM47256.2019.8983410

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Clarkson, M. D., & Roggenkamp, S. (2019). Employing knowledge patterns for auditing the Foundational Model of Anatomy. En I. Yoo, J. Bi, & X. T. Hu (Eds.), Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 (pp. 1941-1947). Artículo 8983410 (Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019). https://doi.org/10.1109/BIBM47256.2019.8983410

Clarkson, Melissa D. ; Roggenkamp, Steven. / Employing knowledge patterns for auditing the Foundational Model of Anatomy. Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. editor / Illhoi Yoo ; Jinbo Bi ; Xiaohua Tony Hu. 2019. pp. 1941-1947 (Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019).

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title = "Employing knowledge patterns for auditing the Foundational Model of Anatomy",

abstract = "We introduce an approach to auditing ontologies based on knowledge patterns. These patterns make explicit the correspondence between the domain being modeled and the representation used within the model. In this work, we first construct anatomical knowledge patterns relevant to the musculoskeletal system and then use the patterns as guides to retrieve content from the Foundational Model of Anatomy. By examining the results of the content retrievals, we demonstrate how our approach can be employed for ontology auditing and quality assurance efforts.",

keywords = "anatomy, ontology, quality assurance",

author = "Clarkson, \{Melissa D.\} and Steven Roggenkamp",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 ; Conference date: 18-11-2019 Through 21-11-2019",

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Clarkson, MD & Roggenkamp, S 2019, Employing knowledge patterns for auditing the Foundational Model of Anatomy. En I Yoo, J Bi & XT Hu (eds.), Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019., 8983410, Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, pp. 1941-1947, 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, United States, 11/18/19. https://doi.org/10.1109/BIBM47256.2019.8983410

Employing knowledge patterns for auditing the Foundational Model of Anatomy. / Clarkson, Melissa D.; Roggenkamp, Steven.
Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. ed. / Illhoi Yoo; Jinbo Bi; Xiaohua Tony Hu. 2019. p. 1941-1947 8983410 (Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019).

Producción científica: Conference contribution › revisión exhaustiva

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AB - We introduce an approach to auditing ontologies based on knowledge patterns. These patterns make explicit the correspondence between the domain being modeled and the representation used within the model. In this work, we first construct anatomical knowledge patterns relevant to the musculoskeletal system and then use the patterns as guides to retrieve content from the Foundational Model of Anatomy. By examining the results of the content retrievals, we demonstrate how our approach can be employed for ontology auditing and quality assurance efforts.

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M3 - Conference contribution

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BT - Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

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Clarkson MD, Roggenkamp S. Employing knowledge patterns for auditing the Foundational Model of Anatomy. En Yoo I, Bi J, Hu XT, editores, Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. 2019. p. 1941-1947. 8983410. (Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019). doi: 10.1109/BIBM47256.2019.8983410

Employing knowledge patterns for auditing the Foundational Model of Anatomy

Resumen

Serie de la publicación

Conference

Nota bibliográfica

ODS de las Naciones Unidas

ASJC Scopus subject areas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto