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:
Online Access:http://umpir.ump.edu.my/id/eprint/23858/1/Sensual%20Semantic%20Analysis%20for%20Effective%20Query%20Expansion.pdf
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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
collection UMP
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
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spelling UMPir238582019-01-21T03:58:51Z 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). (Published) http://thesai.org/Publications/ViewPaper?Volume=9&Issue=12&Code=IJACSA&SerialNo=8 10.14569/IJACSA.2018.091208
spellingShingle QA75 Electronic computers. Computer science
Raza, Muhammad Ahsan
Rahmah, Mokhtar
Noraziah, Ahmad
Ashraf, Mahmood
Sensual Semantic Analysis for Effective Query Expansion
title 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_short Sensual Semantic Analysis for Effective Query Expansion
title_sort sensual semantic analysis for effective query expansion
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/23858/1/Sensual%20Semantic%20Analysis%20for%20Effective%20Query%20Expansion.pdf
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AT noraziahahmad sensualsemanticanalysisforeffectivequeryexpansion
AT ashrafmahmood sensualsemanticanalysisforeffectivequeryexpansion