In this paper we present OWLizr, a system that constructs formal knowledge representations using Web Ontology Language (OWL) from natural language text in bahasa Indonesia. The design of OWLizr is mainly concerned with the representation of knowledge about real-world events using the reification technique. Such knowledge, which is commonplace in naturally occurring texts, is not typically handled by logics for ontologies such as Description Logic. OWLizr consists of four modules: the NLP Semantic Analyzer, KB Generator, KB Reasoner, and SPARQL Query Generator. We also developed an ontology to support the knowledge representation and reasoning process in the KB Generator and KB Reasoner. The NLP Semantic Analyzer reuses the semantic analyzer program developed by Mahendra. Our system supports question-answering (QA) on the knowledge base using the SPARQL Query Generator module.
Download Link
I look forward to develop it again. So, suggestions and comments are welcome!
