ontologies and process mining

Download Ontologies And Process Mining

Post on 24-Dec-2014




4 download

Embed Size (px)


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

2. Semantic Process Mining

  • Based on Ontologies

3. How do we discover Ontologies? 4. Start with OOBE Business PatternsBusiness Process Mining 2009
5. OOBE Business Patterns

  • Process Business Objects

6. Entity Business Objects 7. Event Business ObjectsBusiness Process Mining 2009
8. Process Business Objects

  • Business Verbs

9. Represent ProcessesBusiness Process Mining 2009
10. Process Business Objects

  • Seven Process Business Objects from which all others can be defined

Business Process Mining 2009
11. Entity Business Objects

  • Business Nouns

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
17. Event Business Objects

  • Business Events

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
20. Event Business Objects

  • Seven Event Business Objects from which all others can be defined

Business Process Mining 2009
21. Business Objects and Ontologies

  • Semantic Business Process Mining is based on Ontologies


  • OOBE Business Patterns create a framework for the Ontologies


  • Incorporate Business Patterns into WSML (ontologies)


  • Ontologies then annotate process mining data (ProM)http://prom.win.tue.nl/tools/prom/

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
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
28. Summary

  • Ontologies are needed for Semantic Process Mining

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


View more >