Ontology

Work on semantic standards for sharing COVID-19 data. Update ontologies with COVID-19 and CoV related concepts to make knowledge machine-readable and actionable for mining, logical reasoning, etc...

Communication

• slack (#ontology)

Participants

• Robert Hoehndorf
• Núria Queralt Rosinach
• Yongqun "Oliver" He
• Danielle Welter
• Philippe Rocca-Serra
• Claus Weiland

Calls and Meeting details:

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date	virtual meeting venue	time (GMT/CEST)
07.04.2020	https://kaust.zoom.us/j/148518115	9 a.m./10 a.m.
08.04.2020	TBD	TBD
09.04.2020	TBD	TBD
10.04.2020	TBD	TBD
11.04.2020	TBD	TBD

Aims

• Update relevant biomedical ontologies

Skills

• Domain experts
• Curation
• Semantics: OBO, OWL, Description Logics
• Data modeling and Linkeddata

Outcomes

• New explicit and formal specifications of concepts related to COVID-19

Collaborations

• Text mining and analysis
• Wikidata
• Knowledge graphs
• Machine learning
• FAIRDATA
• Translation

Ideas

You can find and contribute to project ideas.

Ontologies for COVID-19

• Coronavirus Infectious Disease Ontology

• COVID-19 Surveillance Ontology

• SciBite Vocabularies

Ontologies including COVID-19 and related information

• Human Disease Ontology

Symptom profile for COVID-19 patients

• Stanford Health Care Clinical observations: [BLOG POST] [DATA]