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 in | Journal of biomedical semantics Vol. 9; no. 1; pp. 3 - 10 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central
12.01.2018
BioMed Central Ltd BMC |
Subjects | |
Online Access | Get full text |
ISSN | 2041-1480 2041-1480 |
DOI | 10.1186/s13326-017-0169-2 |
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Abstract | 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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AbstractList | 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). Abstract 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). 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).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). |
ArticleNumber | 3 |
Audience | Academic |
Author | Xiang, Zuoshuang Lin, Yu Ong, Edison Zheng, Jie He, Yongqun Overton, James A. |
Author_xml | – sequence: 1 givenname: Yongqun orcidid: 0000-0001-9189-9661 surname: He fullname: He, Yongqun email: yongqunh@med.umich.edu organization: Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, University of Michigan Medical School – sequence: 2 givenname: Zuoshuang surname: Xiang fullname: Xiang, Zuoshuang organization: Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, University of Michigan Medical School – sequence: 3 givenname: Jie surname: Zheng fullname: Zheng, Jie organization: Department of Genetics, University of Pennsylvania Perelman School of Medicine – sequence: 4 givenname: Yu surname: Lin fullname: Lin, Yu organization: Center for Computational Science, University of Miami – sequence: 5 givenname: James A. surname: Overton fullname: Overton, James A. organization: Knocean Inc – sequence: 6 givenname: Edison surname: Ong fullname: Ong, Edison organization: Department of Computational Medicine and Bioinformatics, University of Michigan Medical School |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29329592$$D View this record in MEDLINE/PubMed |
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Keywords | Ontorat And ontology design pattern Ontology Ontoanimal tools Software eXtensible ontology development Ontofox Interoperability Ontobee Semantic alignment |
Language | English |
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Snippet | Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With hundreds of biological and biomedical ontologies developed,... Abstract Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With hundreds of biological and biomedical ontologies... |
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SubjectTerms | Algorithms Analysis Bioinformatics Biological Ontologies Combinatorial Libraries Computational Biology/Bioinformatics Computational linguistics Computer Appl. in Life Sciences Data Mining and Knowledge Discovery eXtensible ontology development Interoperability Language processing Mathematics Mathematics and Statistics Natural language interfaces Ontoanimal tools Ontofox Ontology Review Semantics Software |
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Title | The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability |
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