Standardization of assay representation in the Ontology for Biomedical Investigations

Autor: Damion M. Dooley, Hande Küçük McGinty, James A. Overton, Irene Y Feng, Matthew H. Brush, Christian J. Stoeckert, Michelle G. Giglio, Daniel C. Berrios, Bjoern Peters, Marcus C. Chibucos, Sagar B Jain, Mark A. Miller, Aisyah Yu Lin, Gully A. P. C. Burns, Mathias Brochhausen, Yongqun He, Randi Vita, Rebecca C. Jackson, Jie Zheng, John Judkins, Richard H. Scheuermann
Rok vydání: 2021
Předmět:
Standardization
Computer science
Process (engineering)
02 engineering and technology
Ontology (information science)
computer.software_genre
General Biochemistry
Genetics and Molecular Biology
03 medical and health sciences
Technical Report
Library and Information Studies
020204 information systems
0202 electrical engineering
electronic engineering
information engineering
Language
030304 developmental biology
computer.programming_language
Ontology for Biomedical Investigations
0303 health sciences
Hierarchy
business.industry
Web Ontology Language
Reference Standards
Term (logic)
Data Format
Biological Ontologies
Software design pattern
AcademicSubjects/SCI00960
Artificial intelligence
General Agricultural and Biological Sciences
business
computer
Natural language processing
Information Systems
Zdroj: Database: The Journal of Biological Databases and Curation
ISSN: 1758-0463
DOI: 10.1093/database/baab040
Popis: The Ontology for Biomedical Investigations (OBI) underwent a focused review of assay term annotations, logic and hierarchy with a goal to improve and standardize these terms. As a result, inconsistencies in W3C Web Ontology Language (OWL) expressions were identified and corrected, and additionally, standardized design patterns and a formalized template to maintain them were developed. We describe here this informative and productive process to describe the specific benefits and obstacles for OBI and the universal lessons for similar projects.
Databáze: OpenAIRE
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