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Updated: May 27, 2025

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

Melissa D Clarkson1, Steven Roggenkamp1, Landon T Detwiler1

  • 1Division of Biomedical Informatics, University of Kentucky, Multidisciplinary Science Building, Room 230C, Lexington, KY 40506, USA.

Journal of Biomedical Informatics
|February 17, 2025
PubMed
Summary

We developed a method to create semantically-augmented graphic libraries, enabling visual standards for intelligent information systems. This approach links visual style to semantic meaning, enhancing data accessibility and representation.

Keywords:
OntologySemantic webStandardsVisual communication

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Area of Science:

  • Computer Science
  • Information Science
  • Biomedical Informatics

Background:

  • Visual representations often supplement data rather than containing computable information.
  • Intelligent information systems require standardized, semantically rich visual assets.

Purpose of the Study:

  • To develop a method for creating semantically-augmented graphic libraries.
  • To establish visual standards for intelligent information systems.
  • To bridge visual communication and knowledge representation.

Main Methods:

  • Graphics developed using a composable approach and specified in SVG.
  • Ontology Web Language (OWL) used for system entities (elements, units, graphics, libraries).
  • Graph database for data management; semantics applied via semantic style classes, object/data properties, and inter-graphic relationships.

Main Results:

  • A Graphic Library web application for browsing, viewing, and downloading graphics.
  • Demonstrated SPARQL querying of the graphics database and API retrieval of graphics and data.
  • Composable graphics method effectively depicts variations in human anatomy.

Conclusions:

  • Established a method for creating visual standards compatible with biomedical ontology.
  • Implemented a system for integrating visual assets into information systems.
  • Bridged visual communication with knowledge representation for enhanced data integration.