Correcting ontology errors simplifies visual complexity

Hao Liu, Ling Zheng, Yehoshua Perl, Yan Chen, Gai Elhanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In previous research we have shown that hierarchically complex overlapping concepts have a higher error rate of errors versus control concepts. In this poster we show an exmaple from Neoplasm concepts of the NCI thesaurus(NCIt) demonstrating that erroneous overplapping concepts, reflected in the partial-area units of a partial-area taxonomy, display visual complexity. Furthermore, correcting these erroneous concepts causes visual simplification.

Original languageEnglish (US)
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
EditorsZhao Dongsheng, Adi V. Gundlapalli, Jaulent Marie-Christine
PublisherIOS Press
Number of pages1
ISBN (Electronic)9781614998297
DOIs
StatePublished - Jan 1 2017
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
CountryChina
CityHangzhou
Period8/21/178/25/17

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Keywords

  • Ontology quality assurance
  • Ontology visualization

Fingerprint Dive into the research topics of 'Correcting ontology errors simplifies visual complexity'. Together they form a unique fingerprint.

Cite this