The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability

Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With hundreds of biological and biomedical ontologies developed, it has become critical to ensure ontology interoperability and the usage of interoperable ontologies for standardized data representation an...

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Published inJournal of biomedical semantics Vol. 9; no. 1; pp. 3 - 10
Main Authors He, Yongqun, Xiang, Zuoshuang, Zheng, Jie, Lin, Yu, Overton, James A., Ong, Edison
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 12.01.2018
BioMed Central
BMC
Subjects
Analysis
Biological Ontologies
Computational linguistics
eXtensible ontology development
Interoperability
Language processing
Natural language interfaces
Ontoanimal tools
Ontofox
Ontology
Review
Semantics
Software
And ontology design pattern
Ontorat
Ontology
Ontoanimal tools
Software
Ontofox
eXtensible ontology development
Interoperability
Ontobee
Semantic alignment
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Summary:Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With hundreds of biological and biomedical ontologies developed, it has become critical to ensure ontology interoperability and the usage of interoperable ontologies for standardized data representation and integration. The suite of web-based Ontoanimal tools (e.g., Ontofox, Ontorat, and Ontobee) support different aspects of extensible ontology development. By summarizing the common features of Ontoanimal and other similar tools, we identified and proposed an "eXtensible Ontology Development" (XOD) strategy and its associated four principles. These XOD principles reuse existing terms and semantic relations from reliable ontologies, develop and apply well-established ontology design patterns (ODPs), and involve community efforts to support new ontology development, promoting standardized and interoperable data and knowledge representation and integration. The adoption of the XOD strategy, together with robust XOD tool development, will greatly support ontology interoperability and robust ontology applications to support data to be Findable, Accessible, Interoperable and Reusable (i.e., FAIR).
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ISSN:2041-1480
2041-1480
DOI:10.1186/s13326-017-0169-2