I am getting ready to write my first application that combines several models that have already been populated in SDB. This application will be doing inferencing to answer some questions.
One of the models had a relatively large hierarchy, 10s of 1000s of classes. I created a fully inferenced version of this model and saved it into the database as a separate model. This is one of the models I will combine in the application. I then have several fairly small models that I have created and stored, all of these in SDB. Now I am going to write an application that reads a small OWL file into a new inference model, adding these predefined models stored in the database. Assume the following models: 1. Large pre-inferenced model (stored in SDB) 2. 3 models that have not been pre-inferenced (stored in SDB) 3. A newly created in memory model with inferencing I will be combining these models together. When I access the pre-existing models in SDB, to I need to create an inference model for them, or will that happen automatically because I am combining them with the new in-memory inference model? David Jordan Software Developer SAS Institute Inc. Health & Life Sciences, Research & Development Bldg R ▪ Office 4467 600 Research Drive ▪ Cary, NC 27513 Tel: 919 531 1233 ▪ [email protected]<mailto:[email protected]> www.sas.com<http://www.sas.com> SAS® … THE POWER TO KNOW®
