Quiz: Life Sciences and Food: OBO, GO, SNOMED CT, FoodOn and AGROVOC

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Question 1 of 3

1. Question

The lesson says most enterprise ontologies fail one OBO Foundry principle in particular. Which, and why?

Principle one, openness, because enterprise legal teams will not permit redistribution
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The textual definitions principle, because enterprise modellers ship labels without definitions
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Principle nine, plurality of independent users, because they were built for one project and never reused
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The versioning principle, because enterprise ontologies are rarely released more than once a year
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Question 2 of 3

2. Question

What figures does the lesson give for the Gene Ontology knowledgebase as of July 2025?

1,135,364 experimentally supported annotations drawn from over 185,000 peer-reviewed publications, with 11,036 of the 11,952 protein families that have experimental data now annotated
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185,000 experimentally supported annotations drawn from over 1,135,364 peer-reviewed publications, covering 11,952 protein families
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Over 350,000 active annotation concepts across the three orthogonal branches, all derived computationally
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41,447 annotated concepts and 1,219,844 supporting references across the three branches
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Question 3 of 3

3. Question

What modelling lesson does the lesson draw from pairing AGROVOC with FoodOn?

AGROVOC supplies the axiomatic structure and FoodOn the multilingual breadth, so FoodOn should be used only for indexing
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AGROVOC gives breadth, multilinguality and stable identifiers, but SKOS broader and narrower are deliberately weak and will not tell a reasoner that a pasteurised product underwent a heat treatment process, which is what FoodOn's axioms supply over a narrower scope
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Both are axiomatised OWL ontologies, so the only real difference is licensing and the two can be merged directly
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AGROVOC subsumes FoodOn, since its 41,447 concepts already include the food product hierarchy
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Quiz: Life Sciences and Food: OBO, GO, SNOMED CT, FoodOn and AGROVOC

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