Indonesian Linguistic Ontology for Enhancing Ontology-Based Indonesian Question-Answering Systems
Fadhila Tangguh Admojo, Adidah Lajis, Haidawati Nasir · 2025
The development of Linguistic Ontology is essential to advance the Indonesian ontology-based question-answering (QA) system. This paper describes the development of Indonesian linguistic ontology (ILO), including design, construction, and evaluation. ILO is developed as a knowledge base that represents linguistic aspects aimed at overcoming the challenges still faced by Indonesian ontology-based QA systems. The test results show that ILO can effectively handle complex sentence structures, recognize sentence pattern variations, and generate appropriate SPARQL queries. ILO can improve natural language understanding in Indonesian ontology-based QA systems. However, ILO, which is entirely manually curated, has drawbacks. Therefore, future work should focus on implementing ILO in QA systems in various domains and exploring semi-automatic methods to improve scalability and adaptability.