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Re: [xml-dev] What is a sematic data model?

"You create a semantic data model for a problem domain (for example, in UML), and then you define XML or JSON representations of the data in that domain. The conceptual data model comes first, the concrete realisations come second." Michael Kay

This sounds to straightforward, intuitive, compelling - that it puzzles me why it seems to be done only very rarely, and concerning the approach how to do it there does not seem to be any established good practice. The OASIS work Ken points to looks exactly like a step in that direction, but probably very few people are aware of it? And would RDF not be a top candidate for the semantic models on which to build API definitions, but who does it?

The apparent lack of interest (?) in that straightforward (?) approach is above all puzzling if one considers how data integration - API integration - becomes an increasingly pressing problem. So bridging between different syntax is probably only a minor application, the main one being bridging between different message types. There must be a reason for this contradiction, and I would like to understand it.

Hans-Jürgen

Am Freitag, 12. November 2021, 14:11:32 MEZ hat Michael Kay <mike@saxonica.com> Folgendes geschrieben:


>
> Michael, what is a "semantic data model"?

A semantic data model tells you how the items in your data relate to things in the real world. An XML document might have a <product> element, but it doesn't tell you what a product is - and it's always more complicated than you think (for example, if you put your cornflakes in a Christmas-themed package one week, does that make it a different product?).

> Would you give an example of a semantic data model for XML and an example of a semantic data model for JSON, please?

You're putting the cart before the horse. You create a semantic data model for a problem domain (for example, in UML), and then you define XML or JSON representations of the data in that domain. The conceptual data model comes first, the concrete realisations come second.

Of course, people often skimp on data modelling and can get into a mess as a result. I did some modelling work with a TV company that couldn't agree what a "channel" was - some people thought it was a content service that people subscribed to, others that it was a set of electrical signals transmitted on a particular frequency.


> How are their semantic data models used to transform XML to JSON and vice versa?
>

You design an XML representation of the data model, and you design a JSON representation of the data model, and then you work out how they relate to each other, by referring back to the data model.

Michael Kay
Saxonica



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