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

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...

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Main Authors: Arbaeen, Ammar, Shah, Asadullah
Format: Article
Language:English
English
Published: MDPI 2021
Subjects:
T10.5 Communication of technical information
Online Access:http://irep.iium.edu.my/89679/1/89679_Ontology-based%20approach%20to%20semantically.pdf
http://irep.iium.edu.my/89679/7/89679_Ontology-based%20approach%20to%20semantically%20enhanced_Scopus.pdf
http://irep.iium.edu.my/89679/
http://www.mdpi.com/journal/information
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spelling my.iium.irep.896792021-06-24T03:35:16Z http://irep.iium.edu.my/89679/ Ontology-based approach to semantically enhanced question answering for closed domain: a review Arbaeen, Ammar Shah, Asadullah T10.5 Communication of technical information 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. MDPI 2021-05-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/89679/1/89679_Ontology-based%20approach%20to%20semantically.pdf application/pdf en http://irep.iium.edu.my/89679/7/89679_Ontology-based%20approach%20to%20semantically%20enhanced_Scopus.pdf 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 http://www.mdpi.com/journal/information 10.3390/info12050200
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T10.5 Communication of technical information
spellingShingle T10.5 Communication of technical information
Arbaeen, Ammar
Shah, Asadullah
Ontology-based approach to semantically enhanced question answering for closed domain: a review
description 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.
format Article
author Arbaeen, Ammar
Shah, Asadullah
author_facet Arbaeen, Ammar
Shah, Asadullah
author_sort Arbaeen, Ammar
title Ontology-based approach to semantically enhanced question answering for closed domain: a review
title_short Ontology-based approach to semantically enhanced question answering for closed domain: a review
title_full Ontology-based approach to semantically enhanced question answering for closed domain: a review
title_fullStr Ontology-based approach to semantically enhanced question answering for closed domain: a review
title_full_unstemmed Ontology-based approach to semantically enhanced question answering for closed domain: a review
title_sort ontology-based approach to semantically enhanced question answering for closed domain: a review
publisher MDPI
publishDate 2021
url http://irep.iium.edu.my/89679/1/89679_Ontology-based%20approach%20to%20semantically.pdf
http://irep.iium.edu.my/89679/7/89679_Ontology-based%20approach%20to%20semantically%20enhanced_Scopus.pdf
http://irep.iium.edu.my/89679/
http://www.mdpi.com/journal/information
_version_ 1703960198795755520
score 13.211869

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