You will need to define the class and relations for the properties in your data. The easiest way is to find classes and properties in existing model (aka. ontologies). Some properties are standard like
rdfs:label, but for more specific concepts the best is to find an existing data model matching your model.
Feel free to contact us to ask for help with choosing a data model.
Search for relevant existing models in ontology repositories:
- BioPortal for biomedical concepts by the NCBI.
- OntologyLookupService by the EBI
- AgroPortal for agronomy by INRIA.
- EcoPortal for ecology by Life Watch Italy.
The Linked Open Vocabulary (LOV) provide an overview of existing ontologies and the links between them.
- Semanticscience Integrated Ontology (SIO), a simple, integrated ontology of types and relations for rich description of objects, processes and their attributes.
- BioLink Model, A high level datamodel of biological entities (genes, diseases, phenotypes, pathways, individuals, substances, etc) and their associations.
- Schema.org, a collaborative project to define schemes for structured data on the Internet, on web pages, in email messages, and beyond.
- Various classes described such as schema:Person, schema:MedicalGuideline, schema:Review, schema:ScholarlyArticle, schema:MedicalScholarlyArticle, schema:Dataset, etc.
- Extensions available, such as BioSchemas for biological data
- Alternatively you can look into Google Data Types, which are mainly built from schema.org and allow to describe and index your website using RDF (JSON-LD)
- DublinCore (dc, dct, dctypes), one of the most generic vocabulary (includes properties such as
- PAV: Provenance, Authoring and Versioning ontology
- PROV: The Provenance Ontology, another ontology to describe provenance more in detail
- DCAT: Data Catalog Vocabulary, to describe datasets
- NCIT: National Cancer Institute Thesaurus, a vocabulary for clinical care, translational and basic research, and public information and administrative activities.
You can use the Protégé ontology editor to build your ontology.
- Install Protégé on your computer for better performance than the web hosted service.
- Or use Web Protégé for its collaborative features.
http://prefix.cc is a handy service to resolve prefixes.