Frontiers in artificial intelligence and applications - 2023
doi: 10.3233/faia231135
discovery-gemini-llm-reviewed-20260524
The DrMO ontology is a domain ontology that represents knowledge underlying the composition, characterization and standardization of different materials involved in the dental restoration procedure. It will assist dentists in selecting appropriate materials
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based on up-to-date scientific knowledge to satisfy a patient’s specific requirements, without jeopardizing their clinical time. It reuses several ontologies from the OBO foundry, especially the Oral Health and Disease (OHD) Ontology. However, the dental restoration domain is complex and also requires concepts from materials science and engineering. Thus, DrMO also incorporates knowledge from the Devices, Experimental scaffolds, and Biomaterials (DEB) and Functionally Graded Materials (FGM) ontologies to provide more comprehensive knowledge of this area of dental material than previous ontologies. However, much of the terminology from FGM is different than that used in clinical dentistry. Thus, DrMO has changed the appropriate classes to make them consistent with terminology common in dentistry. DrMO also follows ontology design best practices by reusing meta-data properties from the Dublin Core vocabulary. It captures knowledge from a set of the most recent and influential papers in Dental Materials and related fields. Links to these papers are included in the ontology as meta-data defined with Dublin Core. It is implemented in OWL2 and was developed with the Protégé 5.6 ontology editor. The ontology was created using the Ontology Development 101 methodology by Noy et. al. Several domain experts in addition to Dr. Dutta also provided their expertise. The ontology is available on GitHub and licensed via an open source license. The GitHub project includes a corresponding file of SPARQL queries that answer the competency questions defined as part of the ontology development methodology.
Nivedita Dutta; Michael DeBellis; Dental Restorative Material Ontology (DrMO); Frontiers in artificial intelligence and applications; 2023; doi:10.3233/faia231135
Added by matportal-botMay 24, 2026
The Devices, Experimental Scaffolds, and Biomaterials Ontology (DEB): A Tool for Mapping, Annotation, and Analysis of Biomaterials Data
Osnat Hakimi; Josep Luis Gelpi; Martin Krallinger; Fabio Curi; Dmitry Repchevsky; Maria‐Pau Ginebra
Advanced Functional Materials, 2020
doi: 10.1002/adfm.201909910
discovery-gemini-llm-reviewed-20260524
Abstract The size and complexity of the biomaterials literature makes systematic data analysis an excruciating manual task. A practical solution is creating databases and information resources. Implant design and biomaterials research can greatly benefit from
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an open database for systematic data retrieval. Ontologies are pivotal to knowledge base creation, serving to represent and organize domain knowledge. To name but two examples, GO, the gene ontology, and CheBI, Chemical Entities of Biological Interest ontology and their associated databases are central resources to their respective research communities. The creation of the devices, experimental scaffolds, and biomaterials ontology (DEB), an open resource for organizing information about biomaterials, their design, manufacture, and biological testing, is described. It is developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered are validated by members of the biomaterials research community. The ontology may be used for searching terms, performing annotations for machine learning applications, standardized meta‐data indexing, and other cross‐disciplinary data exploitation. The input of the biomaterials community to this effort to create data‐driven open‐access research tools is encouraged and welcomed.
Osnat Hakimi; Josep Luis Gelpi; Martin Krallinger; Fabio Curi; Dmitry Repchevsky; Maria‐Pau Ginebra; The Devices, Experimental Scaffolds, and Biomaterials Ontology (DEB): A Tool for Mapping, Annotation, and Analysis of Biomaterials Data; Advanced Functional Materials; 2020; doi:10.1002/adfm.201909910
Added by matportal-botMay 24, 2026
Repositories
1
Repositorygithub.com
ProjectDebbie/Ontology_DEB
The Device, Experimental scaffolds and medical Device ontology (DEB)
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