standards > terminology artifact > DOI:10.25504/FAIRsharing.dpkb5f

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ready Semanticscience Integrated Ontology

Abbreviation: SIO

General Information
The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF ( and SADI ( projects.


Countries that developed this resource Canada , European Union , Japan , United States

Created in 2015

Taxonomic range

Knowledge Domains 

How to cite this record SIO; Semanticscience Integrated Ontology; DOI:; Last edited: Jan. 8, 2019, 1:30 p.m.; Last accessed: Nov 18 2019 10:34 p.m.

This record is maintained by micheldumontier  ORCID

Record updated: July 6, 2017, 3:50 p.m. by The FAIRsharing Team.

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Additional Information

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    No tools defined


No XSD schemas defined

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Conditions of Use

Applies to: Data use


The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery.

Dumontier M, Baker CJ, Baran J, Callahan A, Chepelev L, Cruz-Toledo J, Del Rio NR, Duck G, Furlong LI, Keath N, Klassen D, McCusker JP, Queralt-Rosinach N, Samwald M, Villanueva-Rosales N, Wilkinson MD, Hoehndorf R.
J Biomed Semantics 2014

View Paper (PubMed) View Publication

SIO Ontology Display

View in BioPortal.

Disclaimer: This widget assumes the availability of the ontology resources in the NCBO BioPortal.

Related Standards

Reporting Guidelines

No guidelines defined

Models and Formats

No syntax standards defined

Identifier Schemas

No identifier schema standards defined


No metrics standards defined

Implementing Databases (2)
DisGeNET: a knowledge base for disease genomics
DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v 6.0) contains 628,685 gene-disease associations (GDAs), between 17,549 genes and 24,166 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 210,498 variant-disease associations (VDAs), between 117,337 variants and 10,358 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.

Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers.

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