In the current CTI science project, we’re testing OWL and the possibility to classify objects as well. The idea is to find the right candidat, a job seeker, for a certain vacancy.

The first screen shows a demo of the setup of the jobseeker OWL ontology. There are two job seekers Peter Muster with the property hasSkill set to some CSharp and Stefan Wagner with hasSkill set to some Java.

Now we see an open position Vacancy1 which has a so called necessary and sufficient condition Job and (hasSkill some Java). This setup makes it possible for a reasoner to determine which vacancy has a possible candidate.

On the last screen, I called the reasoner to classify. The result is that StefanWagner was classified to be a sub class of Vacancy1.

This is the simplest use-case. Actually, there would be many more job seekers, vacancies and skills. The point is that the machine can assign candidates to an open position by itself out of a model.

I used Protégé to model this example but you can also use a java library like Apache-Jena or the OWL-API in our source code.