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Re: [xml-dev] Have you used AI, machine learning, and/or dataanalytics to automatically map/convert one XML vocabulary to another?
- From: Stephen D Green <stephengreenubl@gmail.com>
- To: "Costello, Roger L." <costello@mitre.org>
- Date: Sat, 20 Apr 2019 14:23:22 +0100
Aren’t you just asking whether AI will ever ‘understand’ XML documents? Well clearly it doesn’t yet or you would not still be asking.
This must be a source of sadness to the spying and monitoring world as their main hope for XML adoption worldwide might have been to facilitate electronic data transparency and ‘comprehensibility’ to AI spying tools.
What you are presumably asking is that AI be able to artificially and automatically create ontologies from XML instances conforming to schemas: Ontologies that are derived from higher domain ontologies so it can automatically map them to the higher common ontology and thence to eachother.
A cynic might think this is the only reason governments have ever been interested in XML and interoperability frameworks - to assist the automation of espionage - the big white eye.
On Friday, 19 April 2019, Costello, Roger L. <
costello@mitre.org> wrote:
Hi Folks,
I am seeking guidance and lessons learned from people who have used Artificial Intelligence (AI), machine learning, and/or data analytics to determine how to map/convert XML instance documents that conform to XML Schema 1 to XML instance documents that conform to XML Schema 2.
I imagine throwing a million (billion?) or so instances conforming to schema 1 and a million (billion?) or so instances conforming to schema2 into an AI/machine learning/data analytics engine; the engine cranks for a while and then outputs a description of how to map/convert instances of schema 1 to instances of schema2.
Have you done this? If so, would you share guidance and lessons learned, please?
/Roger
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Stephen D Green
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