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Treffer: Developing libraries of semantically-augmented graphics as visual standards for biomedical information systems.

Title:
Developing libraries of semantically-augmented graphics as visual standards for biomedical information systems.
Authors:
Clarkson MD; Division of Biomedical Informatics, University of Kentucky, Multidisciplinary Science Building, Room 230C, Lexington, KY 40506, USA. Electronic address: mclarkson@uky.edu., Roggenkamp S; Division of Biomedical Informatics, University of Kentucky, Multidisciplinary Science Building, Room 230C, Lexington, KY 40506, USA. Electronic address: steve.roggenkamp@uky.edu., Detwiler LT; Division of Biomedical Informatics, University of Kentucky, Multidisciplinary Science Building, Room 230C, Lexington, KY 40506, USA. Electronic address: todd.detwiler@uky.edu.
Source:
Journal of biomedical informatics [J Biomed Inform] 2025 Mar; Vol. 163, pp. 104804. Date of Electronic Publication: 2025 Feb 16.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE
Imprint Name(s):
Publication: Orlando : Elsevier
Original Publication: San Diego, CA : Academic Press, c2001-
MeSH Terms:
Semantics* , Computer Graphics*/standards , Medical Informatics*/methods, Humans ; User-Computer Interface ; Databases, Factual
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Grant Information:
R01 DE030100 United States DE NIDCR NIH HHS
Contributed Indexing:
Keywords: Ontology; Semantic web; Standards; Visual communication
Entry Date(s):
Date Created: 20250217 Date Completed: 20250508 Latest Revision: 20250508
Update Code:
20250508
PubMed Central ID:
PMC11899390
DOI:
10.1016/j.jbi.2025.104804
PMID:
39961540
Database:
MEDLINE

Weitere Informationen

Objective: Visual representations generally serve as supplements to information, rather than as bearers of computable information themselves. Our objective is to develop a method for creating semantically-augmented graphic libraries that will serve as visual standards and can be implemented as visual assets in intelligent information systems.
Methods: Graphics were developed using a composable approach and specified using SVG. OWL was used to represent the entities of our system, which include elements, units, graphics, graphic libraries, and library collections. A graph database serves as our data management system. Semantics are applied at multiple levels: (a) each element is associated with a semantic style class to link visual style to semantic meaning, (b) graphics are described using object properties and data properties, (c) relationships are specified between graphics, and (d) mappings are made between the graphics and outside resources.
Results: The Graphic Library web application enables users to browse the libraries, view information pages for each graphic, and download individual graphics. We demonstrate how SPARQL can be employed to query the graphics database and the APIs can be used to retrieve the graphics and associated data for applications. In addition, this work shows that our method of designing composable graphics is well-suited to depicting variations in human anatomy.
Conclusion: This work provides a bridge between visual communication and the field of knowledge representation. We demonstrate a method for creating visual standards that are compatible with practices in biomedical ontology and implement a system for making them accessible to information systems.
(Copyright © 2025. Published by Elsevier Inc.)

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.