Very informative indeed. There was a problem with the ontology design. OWL can handle this kind of scenario if we treat employee (or student) as the role of a person and not a subclass of a "person" class which carry specific property only for a given time frame. Is to say that "employee" is not a person in his/her whole life but for a specific period. I think the OntoClean methodology can provide more information regarding what I am saying.
Very informative video. Although, it was a really dumb idea to cover 40% of the frame with endorsements and 10% on the banner while showing the real content on the rest.
when I classify a human a kind of person, or into a category of age or income, and then run a reasoner to prove that somebody is in that category, then I am doing a data validation.
Great class on the basics !
Wow she was so good explaining and real-world examples, loved it. Thank you!
Very informative indeed. There was a problem with the ontology design. OWL can handle this kind of scenario if we treat employee (or student) as the role of a person and not a subclass of a "person" class which carry specific property only for a given time frame. Is to say that "employee" is not a person in his/her whole life but for a specific period. I think the OntoClean methodology can provide more information regarding what I am saying.
Absolutely smashing !
Very informative video. Although, it was a really dumb idea to cover 40% of the frame with endorsements and 10% on the banner while showing the real content on the rest.
Corporate sponsorship is a necessary aspect of what we do; 40% during the entire presentation was not a well-thought out idea.
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when I classify a human a kind of person, or into a category of age or income, and then run a reasoner to prove that somebody is in that category, then I am doing a data validation.