In principle, the purpose of an ontology is to describe knowledge about a certain topic. An ontology should partially answer the question "What is a [NameOfTheConceptYouWantToDefine]?". In OWL, the question is answered by providing categories (OWL classes) and binary relations between objects of the categories (OWL individuals) or between an object and a data value (literals). For instance, ask yourself the question "what is an ingredient?". If your answer is "an ingredient is a finite sequence of unicode characters", then you'll need a datatype property to relate something to an ingredient. If you believe that an ingredient is a date or a number, same.
However, if you think an ingredient is an entity that cannot be digitally encoded in a data structure, then you may need a specific class for it, and object properties to relate things to it.
However, ontologies may also be used as a guide to data structures about the things you describe. Sometimes, it is convenient to use a character string as a description of the thing rather than talk about the thing itself. For instance, one may use a string to describe the ingredients of a recipe. This string should not be confused with the ingredient itself. To make this distinction explicit, you can use datatype properties with a clear name like ex:ingredientDescription
.
Now, ask yourself "what is a cuisine?". Is it a string, a number, a date? Do you need to describe further the cuisines or do you just need a string-based cuisine description?
priceInForint
orpriceInYen
or ... – Luthuli