Semi-automated Ontology based Question Answering System

Authors

  • Khairul Nurmazianna Ismail Faculty of Computer Science, Universiti Teknologi MARA Melaka, Malaysia

Keywords:

Question answering system, knowledge base, ontology, online learning

Abstract

Question answering system enable users to retrieve exact answer for questions submit using natural language. The demand of this system increases since it able to deliver precise answer instead of list of links. This study proposes ontology-based question answering system. Research consist explanation of question answering system architecture. This question answering system used semi-automatic ontology development (Ontology Learning) approach to develop its ontology.

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Published

2023-10-18

How to Cite

Khairul Nurmazianna Ismail. (2023). Semi-automated Ontology based Question Answering System. Journal of Advanced Research in Computing and Applications, 17(1), 1–5. Retrieved from https://akademiabaru.com/submit/index.php/arca/article/view/5019
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