Visual representations are crucial for communicating biomedical knowledge, particularly in the domain of anatomy. Methods for integrating standardized visual representations into knowledge representation schemes are largely unexplored, leaving users dependent upon textual descriptions or ad-hoc visuals. In this work we introduce SVG-based graphics libraries as a tool for standardizing visual representations of biomedical knowledge. We first present design requirements for graphics libraries and a scheme for implementing web-accessible libraries. Finally, we introduce a prototype application for managing and sharing a graphics library. This work uses a library for orofacial anatomy as a test case, but is applicable to any domain of biomedical knowledge that can benefit from visual representation.
|Journal||CEUR Workshop Proceedings|
|State||Published - 2019|
|Event||10th International Conference on Biomedical Ontology, ICBO 2019 - Buffalo, United States|
Duration: Jul 30 2019 → Aug 2 2019
Bibliographical noteFunding Information:
We thank José (Onard) Mejino, Todd Detwiler, and James Brinkley of the Structural Informatics Group at the University of Washington for supporting M.C. during her doctoral and postdoctoral studies when this work was initiated. Additional thanks to Tim Cox and Carrie Heike for advising on phenotypes depicted within the Orofacial Graphics Library.
© 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
- Knowledge representation
ASJC Scopus subject areas
- Computer Science (all)