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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
Editors	Illhoi Yoo, Jinbo Bi, Xiaohua Tony Hu
Pages	1941-1947
Number of pages	7
ISBN (Electronic)	9781728118673
DOIs	https://doi.org/10.1109/BIBM47256.2019.8983410
State	Published - Nov 2019
Event	2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 - San Diego, United States Duration: Nov 18 2019 → Nov 21 2019

Publication series

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

Conference

Conference	2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
Country/Territory	United States
City	San Diego
Period	11/18/19 → 11/21/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

anatomy
ontology
quality assurance

ASJC Scopus subject areas

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/BIBM47256.2019.8983410

Cite this

Clarkson, M. D., & Roggenkamp, S. (2019). Employing knowledge patterns for auditing the Foundational Model of Anatomy. In I. Yoo, J. Bi, & X. T. Hu (Eds.), Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 (pp. 1941-1947). Article 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).

@inproceedings{b7046900f89d43bfbeb450b07b80d5d0,

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",

year = "2019",

month = nov,

doi = "10.1109/BIBM47256.2019.8983410",

language = "English",

series = "Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019",

pages = "1941--1947",

editor = "Illhoi Yoo and Jinbo Bi and Hu, {Xiaohua Tony}",

booktitle = "Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019",

}

Clarkson, MD & Roggenkamp, S 2019, Employing knowledge patterns for auditing the Foundational Model of Anatomy. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Employing knowledge patterns for auditing the Foundational Model of Anatomy

AU - Clarkson, Melissa D.

AU - Roggenkamp, Steven

PY - 2019/11

Y1 - 2019/11

N2 - 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.

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.

KW - anatomy

KW - ontology

KW - quality assurance

UR - http://www.scopus.com/inward/record.url?scp=85084340298&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85084340298&partnerID=8YFLogxK

U2 - 10.1109/BIBM47256.2019.8983410

DO - 10.1109/BIBM47256.2019.8983410

M3 - Conference contribution

AN - SCOPUS:85084340298

T3 - Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

SP - 1941

EP - 1947

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

A2 - Yoo, Illhoi

A2 - Bi, Jinbo

A2 - Hu, Xiaohua Tony

T2 - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

Y2 - 18 November 2019 through 21 November 2019

ER -

Clarkson MD, Roggenkamp S. Employing knowledge patterns for auditing the Foundational Model of Anatomy. In Yoo I, Bi J, Hu XT, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this