We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Protein ontology on the semantic web for knowledge discovery.
- Authors
Chen, Chuming; Huang, Hongzhan; Ross, Karen E.; Cowart, Julie E.; Arighi, Cecilia N.; Wu, Cathy H.; Natale, Darren A.
- Abstract
The Protein Ontology (PRO) provides an ontological representation of protein-related entities, ranging from protein families to proteoforms to complexes. Protein Ontology Linked Open Data (LOD) exposes, shares, and connects knowledge about protein-related entities on the Semantic Web using Resource Description Framework (RDF), thus enabling integration with other Linked Open Data for biological knowledge discovery. For example, proteins (or variants thereof) can be retrieved on the basis of specific disease associations. As a community resource, we strive to follow the Findability, Accessibility, Interoperability, and Reusability (FAIR) principles, disseminate regular updates of our data, support multiple methods for accessing, querying and downloading data in various formats, and provide documentation both for scientists and programmers. PRO Linked Open Data can be browsed via faceted browser interface and queried using SPARQL via YASGUI. RDF data dumps are also available for download. Additionally, we developed RESTful APIs to support programmatic data access. We also provide W3C HCLS specification compliant metadata description for our data. The PRO Linked Open Data is available at https://lod.proconsortium.org/.
- Subjects
PROTEINS; ONTOLOGIES (Information retrieval); LINKED data (Semantic Web); HYPERTEXT systems; SEMANTIC Web
- Publication
Scientific Data, 2020, Vol 7, Issue 1, pN.PAG
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-020-00679-9