The TF question engine has five base query sorts MAP, URL, DESCRIBE, URI, and default, and 4 iterated varieties URLINPUT, DESCRIBEINPUT, URIINPUT, and ENTER.
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Dayton Native takes reasonable measures to ensure the standard and accuracy of the knowledge on this page. Thx op, tu, unfortunately, I couldn’t find sufficient of the cat meals the cats like. Global identifiers is among the primary advantages of RDF that make TermFactory possible. When it comes to the TF ontology, a description can be something: a kind, a that means, or a sign.
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One type of question that’s sure to hold on an enormous ontology are open queries on the kind relation (find all sort triples, i.e. ontology realization ). We are continually including new pet food & pet merchandise as our customers’ needs change. With -create -label , rewrite tries to kind descriptive URIs for expressions and terms on the basis of their language, base type, and referent properties, as described within the part on TF descriptive useful resource names.
There is no such thing as a constraint between an ontology URI and the URIs of different sources in “it” (i.e. its defining document). Does have a large pet provide section and for those who happen to be an Amazon Prime Member , that free 2-day delivery does apply to pick pet merchandise.
Antonymy is a second order property related to the OWL notion of inverseOf, false buddies and homograph are relations between terms with comparable expressions however totally different referents. While some Pet Provides Plus stores are independent franchises, the shop makes use of a central on-line software system that makes making use of very simple.
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They clear cages and tanks and provide customer support, helping neighbors†find one of the best products for his or her pets. For individuals to work on terms jointly or separately, building on the outcomes of the work of others, while maintaining quality and consistency between the totally different contributions. To facilitate such divide and conquer, TF permits importing phrases from one ontology to another by question.
conclusion
Ont:Content stands for language unbiased meanings with a propositional semantics (usually, the interlingua used is English, however it will also be another language, formal or pure.) exp:Text stands for its concrete expression in some language.