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Utilizing A Structural Meta-ontology For Family-based Of The Bioportal Ontologies

Title: Utilizing A Structural Meta-ontology For Family-based Of The Bioportal Ontologies.
Name(s): Ochs, Christopher, author
He, Zhe, author
Zheng, Ling, author
Geller, James, author
Perl, Yehoshua, author
Hripcsak, George, author
Musen, Mark A., author
Type of Resource: text
Genre: Text
Date Issued: 2016-06
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: An Abstraction Network is a compact summary of an ontology's structure and content. In previous research, we showed that Abstraction Networks support quality assurance (QA) of biomedical ontologies. The development of an Abstraction Network and its associated QA methodologies, however, is a laborintensive process that previously was applicable only to one ontology at a time. To improve the efficiency of the Abstraction-Network-based QA methodology, we introduced a QA framework that uses uniform Abstraction Network derivation techniques and QA methodologies that are applicable to whole families of structurally similar ontologies. For the family-based framework to be successful, it is necessary to develop a method for classifying ontologies into structurally similar families. We now describe a structural meta-ontology that classifies ontologies according to certain structural features that are commonly used in the modeling of ontologies (e.g., object properties) and that are important for Abstraction Network derivation. Each class of the structural meta-ontology represents a family of ontologies with identical structural features, indicating which types of Abstraction Networks and QA methodologies are potentially applicable to all of the ontologies in the family. We derive a collection of 81 families, corresponding to classes of the structural meta-ontology, that enable a flexible, streamlined family based QA methodology, offering multiple choices for classifying an ontology. The structure of 373 ontologies from the NCBO BioPortal is analyzed and each ontology is classified into multiple families modeled by the structural meta-ontology. (C) 2016 Elsevier Inc. All rights reserved.
Identifier: FSU_libsubv1_wos_000384704300008 (IID), 10.1016/j.jbi.2016.03.007 (DOI)
Keywords: Abstraction network, biomedical ontologies, complex concepts, database, Evolution, Family-based ontology quality assurance, national center, nci thesaurus, Ontology classification, Structural meta-ontology, terminology, umls, web
Publication Note: The publisher's version of record is available at
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Owner Institution: FSU
Is Part Of: Journal of Biomedical Informatics.
Issue: vol. 61

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Ochs, C., He, Z., Zheng, L., Geller, J., Perl, Y., Hripcsak, G., & Musen, M. A. (2016). Utilizing A Structural Meta-ontology For Family-based Of The Bioportal Ontologies. Journal Of Biomedical Informatics. Retrieved from