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Correcting Ontology Errors Simplifies Visual Complexity.

Hao Liu1, Ling Zheng1, Yehoshua Perl1

  • 1Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102-1982 USA.

Studies in Health Technology and Informatics
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Summary
This summary is machine-generated.

Hierarchically complex overlapping concepts increase error rates. Correcting erroneous concepts in the National Cancer Institute Thesaurus (NCIt) reduces visual complexity and errors.

Keywords:
Ontology Quality AssuranceOntology Visualization

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Area of Science:

  • Ontology engineering
  • Medical informatics
  • Knowledge representation

Background:

  • Previous research indicated that hierarchically complex overlapping concepts are associated with higher error rates compared to control concepts.
  • The National Cancer Institute Thesaurus (NCIt) contains numerous concepts, including those related to Neoplasms, which can exhibit complex relationships.

Purpose of the Study:

  • To demonstrate how erroneous overlapping concepts within the NCIt, specifically in Neoplasm categories, exhibit visual complexity.
  • To show that correcting these erroneous concepts leads to visual simplification.

Main Methods:

  • Analysis of Neoplasm concepts within the National Cancer Institute Thesaurus (NCIt).
  • Identification and visualization of overlapping concepts and their hierarchical structure.
  • Evaluation of visual complexity metrics associated with concept relationships.
  • Demonstration of concept correction and subsequent simplification.

Main Results:

  • Erroneous overlapping concepts within the NCIt's Neoplasm hierarchy display significant visual complexity.
  • The partial-area units of the partial-area taxonomy accurately reflect this visual complexity.
  • Correction of these erroneous concepts resulted in a measurable visual simplification of the concept structure.

Conclusions:

  • Visually complex and erroneous overlapping concepts exist within the NCIt, particularly in the Neoplasm domain.
  • The identified visual complexity is directly linked to errors in concept overlap.
  • Concept correction strategies can effectively simplify the ontology and reduce errors.