Ontology-based approach to semantically enhanced question answering for closed domain: a review

Arbaeen, Ammar and Shah, Asadullah (2021) Ontology-based approach to semantically enhanced question answering for closed domain: a review. Information, 12 (5). pp. 1-22. ISSN 2078-2489

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Abstract

Abstract: For many users of natural language processing (NLP), it can be challenging to obtain concise, accurate and precise answers to a question. Systems such as question answering (QA) enable users to ask questions and receive feedback in the form of quick answers to questions posed in natural language, rather than in the form of lists of documents delivered by search engines. This task is challenging and involves complex semantic annotation and knowledge representation. This study reviews the literature detailing ontology-based methods that semantically enhance QA for a closed domain, by presenting a literature review of the relevant studies published between 2000 and 2020. The review reports that 83 of the 124 papers considered acknowledge the QA approach, and recommend its development and evaluation using different methods. These methods are evaluated according to accuracy, precision, and recall. An ontological approach to semantically enhancing QA is found to be adopted in a limited way, as many of the studies reviewed concentrated instead on NLP and information retrieval (IR) processing. While the majority of the studies reviewed focus on open domains, this study investigates the closed domain.

Item Type:	Article (Review)
Uncontrolled Keywords:	knowledge-based; natural language processing; ontology-based approach; question answering systems; semantic similarity
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	04 May 2021 15:07
Last Modified:	24 Jun 2021 11:35
URI:	http://irep.iium.edu.my/id/eprint/89679

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