[XSL-LIST Mailing List Archive Home] [By Thread] [By Date] [Recent Entries] [Reply To This Message] A robot to do your job
Somebody (NOT ME) posted this gig Doesn't strike me as a great idea but given XSLT's homoiconicity one would have thought the first thing to try would be genetic programming. In fact someone has already tried it. See Evolving XSLT stylesheets - http://arxiv.org/pdf/0712.2630.pdf But it wouldn't be a machine learning problem if the fashionable buzzwords (Hadoop, Deep Learning) weren't chucked at it. JOB DESCRIPTION Use Machine Learning or Hadoop to find best mapping for a message I need a tool to create mappings between two sets of XML documents. I would like to see how fair this can be performed with Deep Learning, Fuzzy logic, Hadoop or what you believe could help here. The system will be trained with a set of in and output messages as the example. It is then expected to create an XSLT 2.0 mapping that can create the structure. There will be use of concat, substring, datetransformation in the proof of concept. If successful there may be a bigger project involving nested structure and other functions. You can select your favorite tool for the project. Input XML <Customer> <Number>234</Number> <FirstName>daniel</FirstName> <LastName>Graversen</LastName> <Street>Ejbydalsvej </Street> <HouseNumber>15</HouseNumber> <Postalcode>DK26000</PostalCode> <Birthday>20160208</Birthday> </Customer> Output XML <CustomerERP> <NO>234</NO> <Name>daniel graversen</Name> <Street>Ejbydalsvej 15</Street> <Postalcode>2600</Postalcode> <Country>DK</Country> <Birthday>0208</Birthday> </CustomerERP>
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