This paper describes a system for representing knowledge from Bahasa Indonesia text using an ontology written in Web Ontology Language Description Logic (OWL DL). The system takes natural language text as input, analyzes it semantically, generates ontology instances and properties, and can answer queries by reasoning over the ontology. It combines prior work on Indonesian natural language processing and using description logics for knowledge representation. An evaluation demonstrates the system representing and reasoning over sample texts about economic activities.

1. Knowledge Representation System for Bahasa Indonesia Based on Web Ontology Language Description Logic (OWL DL) Fariz Darari Adila Alfa Krisnadhi Hisar Maruli Manurung Faculty of Computer Science Universitas Indonesia ICACSIS 2010 Download paper: ir.cs.ui.ac.id/publication/2010/owlizr.pdf

3. Challenge ? KNOWLEDGE TEXT

5. Goal KNOWLEDGE TEXT

6. Background

11. Event Modelling Event Patient Agent Action hasAgent hasAction hasPatient

12. Event Modelling (cont) event_1 car budi buy_action hasAgent hasAction hasPatient “ Budi buys a car” or “Budi membeli mobil”

13. Background Knowledge

15. DL Model (cont)

17. Architecture

21. Example Instance Assertion: from [location(x5,pabrik), event(x1,memproduksi), agent(x1,x5), patient(x1,x6), objectx(x6,mobil)] to Factory(factory_1), Event(event_1), Car(car_1) Property Assertion:

22. Instance assertion

23. Property Assertion

26. Example