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Need to have design principle on when to have precomposed terms vs. ontology design pattern for expressing a patterned entity. Potential factors:
Market demand:
Commercial / research database / marketplace usage
Use-case questions it can play a role in answering
How complex is knowledge graph structure of non-precomposed term?
A term composed of two other terms is fairly straightforward (and its logical implications are too).
A term with a complex axiomatization may have components that themselves should be precomposed, which may take the pressure off of need for precomposing the term itself.
Calculate combinatorial explosion - e.g. meal type x cuisine by country/region = explosion
Theoretical vs what a common person could recognize as a concept or entity.
Note that a precomposed term therefore has an ontology design pattern or axiomatization (of "necessary and sufficient parts") which, if expressed as an equivalency, yields a way to recognize when the term can apply in or be substituted into the comparable knowledge graph structure.
Its easy to see precomposed terms within a domain, e.g. process or anatomy, but crossing between domains may not make sense:
cooked x meal type sounds like odd precomposition
anatomy x process can be odd (except for dried beans, canned beans !!!!)
The text was updated successfully, but these errors were encountered:
Need to have design principle on when to have precomposed terms vs. ontology design pattern for expressing a patterned entity. Potential factors:
Note that a precomposed term therefore has an ontology design pattern or axiomatization (of "necessary and sufficient parts") which, if expressed as an equivalency, yields a way to recognize when the term can apply in or be substituted into the comparable knowledge graph structure.
Its easy to see precomposed terms within a domain, e.g. process or anatomy, but crossing between domains may not make sense:
The text was updated successfully, but these errors were encountered: