Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)

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Analysis Ontology-Based Simple Closed Domains Question-Answer Application

Authors
Ade Hodijah1, *, Urip Teguh Setijohatmo1, Jonner Hutahaean1, Ade Chandra Nugraha1, Naufal Dalhats Zhalifunnas1
1Computer and Informatics Engineering, Politeknik Negeri Bandung, Bandung, Indonesia
*Corresponding author. Email: ade.hodijah@polban.ac.id
Corresponding Author
Ade Hodijah
Available Online 17 February 2024.
DOI
10.2991/978-94-6463-364-1_111How to use a DOI?
Keywords
Question-answer application; movie ontology; IndoBERT
Abstract

Time performance and precision became crucial factors in question-answer applications. This research compares two ontology-based models of the simple question-answer (QA) application. The domain of the application is movie information. The first model used lightweight natural language processing (NLP) and a detail movie ontology combination (shallow NLP movie ontology). The other designed lightweight movie ontology was suitable with the IndoBERT mechanism (IndoBERT movie ontology). The research used a run-time experiment to get the best performance model using the IMDB dataset. The query processing experiment controlled the amount of data, while the precision experiment was based on the output generated by the Shallow NLP movie ontology and the IndoBERT movie ontology. The results show that the Shallow NLP movie ontology was better for the execution times and more precision (as long as supported by valid ontology instances for all of the questions) than the IndoBERT movie ontology. In contrast, the precision of IndoBERT movie ontology was more powerful NLP than the Shallow NLP movie ontology. This research is expected to provide an empirical contribution regarding building and developing a simple QA application and ontology for closed domains.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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<Previous Article In Volume
Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
Series
Advances in Engineering Research
Publication Date
17 February 2024
ISBN
10.2991/978-94-6463-364-1_111
ISSN
2352-5401
DOI
10.2991/978-94-6463-364-1_111How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ade Hodijah
AU  - Urip Teguh Setijohatmo
AU  - Jonner Hutahaean
AU  - Ade Chandra Nugraha
AU  - Naufal Dalhats Zhalifunnas
PY  - 2024
DA  - 2024/02/17
TI  - Analysis Ontology-Based Simple Closed Domains Question-Answer Application
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
PB  - Atlantis Press
SP  - 1228
EP  - 1240
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-364-1_111
DO  - 10.2991/978-94-6463-364-1_111
ID  - Hodijah2024
ER  -