@inproceedings{ae91412ad57643ad86112feba2a7458c,
title = "Correcting ontology errors simplifies visual complexity",
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.",
keywords = "Ontology quality assurance, Ontology visualization",
author = "Hao Liu and Ling Zheng and Yehoshua Perl and Yan Chen and Gai Elhanan",
note = "Publisher Copyright: {\textcopyright} 2017 International Medical Informatics Association (IMIA) and IOS Press.; 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 ; Conference date: 21-08-2017 Through 25-08-2017",
year = "2017",
doi = "10.3233/978-1-61499-830-3-1330",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1330",
editor = "Gundlapalli, {Adi V.} and Jaulent Marie-Christine and Zhao Dongsheng",
booktitle = "MEDINFO 2017",
address = "Netherlands",
}