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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| Format: | Article |
| Language: | English |
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The Science and Information (SAI) Organization Limited
2018
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| Online Access: | 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 |
| _version_ | 1848821904727605248 |
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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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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 |
| first_indexed | 2025-11-15T02:32:46Z |
| format | Article |
| id | ump-23858 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:32:46Z |
| publishDate | 2018 |
| publisher | The Science and Information (SAI) Organization Limited |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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). (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/ 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 |