Knowledge Representation System for Bahasa Indonesia Based on Knowledge Representation System for Bahasa Indonesia Based on Web Ontology Language Description Logic (OWL DL) 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
In this paper we present OWLizr, a system that constructs formal knowledge representations using the Web Ontology Language (OWL) from natural language text in bahasa Indonesia.
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Knowledge Representation System for Bahasa Indonesia Based on Knowledge Representation System for Bahasa Indonesia Based on
Web Ontology Language Description Logic (OWL DL)Web Ontology Language Description Logic (OWL DL)
Two Main Uses: Consistency Checking Check if there is a contradiction, for example “Mobil membeli radio” or “The car buys the radio” will produce an error. But, of course people can buy the radio.
Instance Checking Function to obtain inferred knowledge. It will check whether an instance could be classified in some classes or not.
SPARQL Query Generator
Translates semantic notations into SPARQL Query
Formed by two components, SELECT and WHERE clause
Then, execute query on KB
Example
Evaluation Results
Evaluation
Serves as a proof-of-concept Using a specific, domain ontology, that is economic activity Example terms are "price" or "harga", "expensive" or "mahal", "buy" or "membeli", "sell" or "menjual", "buyer" or "pembeli", and "shop" or "toko" The evaluation tests the ontology features, such as subclass, intersection, union. So, we define each terms in the ontology using various ontology features. For example, buyer is defined as:
Knowledge Assertion Mode
Input: “Anto buys the car in the shop” or “Anto membeli mobil di toko”