research-article

Improving the Result of Question Answering System with Semantic Similarity Method Based on Hierarchy in Ontology

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Dewi WardaniAuthors Info & Claims

IC3INA '21: Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications

Pages 97 - 103

https://doi.org/10.1145/3489088.3489095

Published: 13 February 2022 Publication History

IC3INA '21: Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications

Improving the Result of Question Answering System with Semantic Similarity Method Based on Hierarchy in Ontology

Pages 97 - 103

Abstract
References

Abstract

Processing of question sentences is necessary to get an answer with the closest syntactic closeness. However, sentence processing only with syntactic proximity alone may not necessarily provide a satisfactory answer. Therefore, it is necessary to look at question sentences with semantic closeness. By applying the Semantic Similarity, it can improve the results of the Question Answering System. This work proposes The QASSOBI as The Question Answering System based on the Semantic Web using Ontology as knowledge with a hierarchical-based search. The results obtained precision of 84.21% and a recall of 80%. It has improved 60.71% compared to the process without Semantic Similarity.

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Cited By

Wardani DAchmad C(2022)SSTI: Semantic Similarity to detect Novelty of Thesis IdeasProceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications10.1145/3575882.3575955(376-381)Online publication date: 22-Nov-2022
https://dl.acm.org/doi/10.1145/3575882.3575955
Abulaish MFazil MZaki M(2022)Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual SemanticsACM Transactions on Knowledge Discovery from Data10.1145/349456016:4(1-30)Online publication date: 8-Jan-2022
https://dl.acm.org/doi/10.1145/3494560

Index Terms

Improving the Result of Question Answering System with Semantic Similarity Method Based on Hierarchy in Ontology
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
    2. Natural language processing
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing

Index terms have been assigned to the content through auto-classification.

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IC3INA '21: Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications

October 2021

204 pages

ISBN:9781450385244

DOI:10.1145/3489088

Copyright © 2021 ACM.

© 2021 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Publication History

Published: 13 February 2022

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IC3INA 2021: The 2021 International Conference on Computer, Control, Informatics and Its Applications

October 5 - 6, 2021

Virtual/online conference, Indonesia

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Cited By

Wardani DAchmad C(2022)SSTI: Semantic Similarity to detect Novelty of Thesis IdeasProceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications10.1145/3575882.3575955(376-381)Online publication date: 22-Nov-2022
https://dl.acm.org/doi/10.1145/3575882.3575955
Abulaish MFazil MZaki M(2022)Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual SemanticsACM Transactions on Knowledge Discovery from Data10.1145/349456016:4(1-30)Online publication date: 8-Jan-2022
https://dl.acm.org/doi/10.1145/3494560

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