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Visual comprehension and orientation into the COVID-19 CIDO ontology
Ling Zheng1, Yehoshua Perl2, Yongqun He3
1Computer Science and Software Engineering Department, Monmouth University, West Long Branch, NJ, USA.
Journal of Biomedical Informatics
|July 5, 2021
Summary
A new visualization method for the Coronavirus Infectious Disease Ontology (CIDO) improves understanding of its complex structure. This approach offers a compact, big-picture view, aiding researchers in navigating and comprehending COVID-19 terminology.
Area of Science:
- Biomedical Informatics
- Ontology Engineering
- Computational Biology
Background:
- Standardized terminology is crucial for COVID-19 research, including remedies and vaccinations.
- The Coronavirus Infectious Disease Ontology (CIDO) is a growing, medium-sized ontology requiring better comprehension tools for sophisticated users.
- Previous summarization networks like partial-area taxonomies were too large for effective CIDO comprehension.
Purpose of the Study:
- To present a novel "weighted aggregate taxonomy" for CIDO, offering compact views at various granularities.
- To introduce an innovative visualization technique for the weighted aggregate taxonomy to enhance orientation and comprehension of CIDO.
- To demonstrate the efficiency and benefits of the new visualization for understanding ontology content.
Main Methods:
- Development of a "weighted aggregate taxonomy" to summarize CIDO at different levels.
- Introduction of a new visualization pattern for the weighted aggregate taxonomy, addressing limitations of previous layout methods.
- Creation of a layout efficiency measure to quantitatively compare visualization techniques.
Main Results:
- The new visualization provides a more compact and comprehensible "big picture" of the CIDO ontology.
- The innovative layout overcomes the limitations of previous methods, which resulted in overly long and narrow visualizations.
- The new visualization significantly improves user orientation and comprehension of CIDO's content, as validated by the efficiency measure.
Conclusions:
- The weighted aggregate taxonomy with its novel visualization offers a superior method for understanding complex ontologies like CIDO.
- This approach facilitates "seeing the forest for the trees," enabling users to gain insights into the ontology's structure and content.
- The demonstrated visualization technique is generalizable to other ontologies, supporting broader applications in knowledge organization.
Keywords:
Comprehension of an ontologyCoronavirus Infectious Disease OntologyOntology orientationOntology summarizationOntology visualizationSummarization networksMore Related Videos
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