Semantic Process Mining relies on ontologies to abstract and summarise detail data. This presentation gives some ideas on how to do create ontologies.

1. Ontologies and their use in Semantic Process Mining George Varvaressosgvarvaressos@ozemail.com.au Business Process Mining © 2009

3. How do we discover Ontologies?

4. Start with OOBE Business Patterns®Business Process Mining © 2009

6. Entity Business Objects

7. Event Business ObjectsBusiness Process Mining © 2009

9. Represent ProcessesBusiness Process Mining © 2009

12. People, Places & Things

13. Resources, Players & ConstructsBusiness Process Mining © 2009

14. Entity Business Objects Business Process Mining © 2009

15. Entity Object - Agreement Business Process Mining © 2009

16. Entity Object – Business Party Business Process Mining © 2009

18. Business Time, Product & Life Cycle events

19. Event Business Objects are triggers for or results of steps in Business Process ObjectsBusiness Process Mining © 2009

22. Patterns are important to ensure that nothing is missedBusiness Process Mining © 2009

23. Process Discovery Example of an ontology candidate Business Process Mining © 2009

24. Semantic Data Operations Dept manages human resources - by team Business Process Mining © 2009

25. StatisticalData Analyse performance by task & abstraction Business Process Mining © 2009

26. Semantic Data Payroll Dept manages human resources by – Business Party Business Process Mining © 2009

27. Statistical Data Analyse performance using ‘Business Party’ abstraction Business Process Mining © 2009

29. Business Patterns provide a template when you need to create an Ontology

30. Ontologies provide different perspectives for the same data

31. Same total result (Time & Frequency) in all Ontologies – just a different viewBusiness Process Mining © 2009