Sensual Semantic Analysis for Effective Query Expansion

The information has evolved rapidly over the World Wide Web in the past few years. To satisfy information needs, users mostly submit a query via traditional search engines, which retrieve results on the basis of keyword matching principle. However, a keyword-based search cannot recognize the meaning...

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Main Authors:	Raza, Muhammad Ahsan, Rahmah, Mokhtar, Noraziah, Ahmad, Ashraf, Mahmood
Format:	Article
Language:	English
Published:	The Science and Information (SAI) Organization Limited 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/23858/ http://umpir.ump.edu.my/id/eprint/23858/ http://umpir.ump.edu.my/id/eprint/23858/ http://umpir.ump.edu.my/id/eprint/23858/1/Sensual%20Semantic%20Analysis%20for%20Effective%20Query%20Expansion.pdf

id	ump-23858
recordtype	eprints
spelling	ump-238582019-01-21T03:58:51Z http://umpir.ump.edu.my/id/eprint/23858/ Sensual Semantic Analysis for Effective Query Expansion Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Ashraf, Mahmood QA75 Electronic computers. Computer science The information has evolved rapidly over the World Wide Web in the past few years. To satisfy information needs, users mostly submit a query via traditional search engines, which retrieve results on the basis of keyword matching principle. However, a keyword-based search cannot recognize the meanings of keywords and the semantic relationship among the terms in the user’s query; thus, this technique cannot retrieve satisfactory results. The expansion of an initial query with relevant meaningful terms can solve this issue and enhance information retrieval. Generally, query expansion methods consider concepts that are semantically related to query terms within the ontology as candidates in expanding the initial query. An analysis of the correct sense of query terms, rather than only considering semantic relations, is necessary to overcome language ambiguity problems. In this work, we proposed a query expansion framework on the basis of query sense analysis and semantics mining using computer science domain ontology, followed by working prototype of the system. The experts analyzed the results of system prototype over test dataset and Web data, and found a remarkable improvement in the overall search performance. Furthermore, the proposed framework demonstrated better mean average precision and recall values than the baseline method The Science and Information (SAI) Organization Limited 2018 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/23858/1/Sensual%20Semantic%20Analysis%20for%20Effective%20Query%20Expansion.pdf Raza, Muhammad Ahsan and Rahmah, Mokhtar and Noraziah, Ahmad and Ashraf, Mahmood (2018) Sensual Semantic Analysis for Effective Query Expansion. International Journal of Advanced Computer Science and Applications (IJACSA), 9 (12). pp. 55-60. ISSN 2156-5570 (Online) http://thesai.org/Publications/ViewPaper?Volume=9&Issue=12&Code=IJACSA&SerialNo=8 10.14569/IJACSA.2018.091208
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Ashraf, Mahmood Sensual Semantic Analysis for Effective Query Expansion
description	The information has evolved rapidly over the World Wide Web in the past few years. To satisfy information needs, users mostly submit a query via traditional search engines, which retrieve results on the basis of keyword matching principle. However, a keyword-based search cannot recognize the meanings of keywords and the semantic relationship among the terms in the user’s query; thus, this technique cannot retrieve satisfactory results. The expansion of an initial query with relevant meaningful terms can solve this issue and enhance information retrieval. Generally, query expansion methods consider concepts that are semantically related to query terms within the ontology as candidates in expanding the initial query. An analysis of the correct sense of query terms, rather than only considering semantic relations, is necessary to overcome language ambiguity problems. In this work, we proposed a query expansion framework on the basis of query sense analysis and semantics mining using computer science domain ontology, followed by working prototype of the system. The experts analyzed the results of system prototype over test dataset and Web data, and found a remarkable improvement in the overall search performance. Furthermore, the proposed framework demonstrated better mean average precision and recall values than the baseline method
format	Article
author	Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Ashraf, Mahmood
author_facet	Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Ashraf, Mahmood
author_sort	Raza, Muhammad Ahsan
title	Sensual Semantic Analysis for Effective Query Expansion
title_short	Sensual Semantic Analysis for Effective Query Expansion
title_full	Sensual Semantic Analysis for Effective Query Expansion
title_fullStr	Sensual Semantic Analysis for Effective Query Expansion
title_full_unstemmed	Sensual Semantic Analysis for Effective Query Expansion
title_sort	sensual semantic analysis for effective query expansion
publisher	The Science and Information (SAI) Organization Limited
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23858/ http://umpir.ump.edu.my/id/eprint/23858/ http://umpir.ump.edu.my/id/eprint/23858/ http://umpir.ump.edu.my/id/eprint/23858/1/Sensual%20Semantic%20Analysis%20for%20Effective%20Query%20Expansion.pdf
first_indexed	2023-09-18T22:35:55Z
last_indexed	2023-09-18T22:35:55Z
_version_	1777416594177130496

Sensual Semantic Analysis for Effective Query Expansion

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