Semantic ambiguous query formulation using statistical linguistics technique
Natural language query systems mitigate the complexity of structured query. Usually, natural language processing is implemented to solve several problems, such as information retrieval. However, problems such as natural language ambiguity remain unsolved due to the complexity of natural language its...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Faculty of Computer Science and Information Technology, University of Malaya
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/73859/ http://psasir.upm.edu.my/id/eprint/73859/1/Semantic%20ambiguous%20query%20formulation%20.pdf |
| _version_ | 1848857380883791872 |
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| author | A. Kadir, Rabiah Yauri, Rufai Aliyu Azman, Azreen |
| author_facet | A. Kadir, Rabiah Yauri, Rufai Aliyu Azman, Azreen |
| author_sort | A. Kadir, Rabiah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Natural language query systems mitigate the complexity of structured query. Usually, natural language processing is implemented to solve several problems, such as information retrieval. However, problems such as natural language ambiguity remain unsolved due to the complexity of natural language itself. This issue thus requires further research. Recent studies on semantic query formulation have attempted to resolve ambiguous natural language by proposing different disambiguation approaches. Most such processes are either implemented manually or semi-automated. In the same vein, most recent systems solve ambiguity by using an external dictionary such as WordNet or by providing suggestions manually. The present research proposes a statistical linguistic technique for solving the problem of ambiguity automatically. The proposed technique is experimentally tested on a Quran ontology with queries from the Islamic Research Foundation Website and increases the result of precision and recall by 6% and 10%, respectively. |
| first_indexed | 2025-11-15T11:56:38Z |
| format | Article |
| id | upm-73859 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:56:38Z |
| publishDate | 2018 |
| publisher | Faculty of Computer Science and Information Technology, University of Malaya |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-738592021-12-02T07:31:00Z http://psasir.upm.edu.my/id/eprint/73859/ Semantic ambiguous query formulation using statistical linguistics technique A. Kadir, Rabiah Yauri, Rufai Aliyu Azman, Azreen Natural language query systems mitigate the complexity of structured query. Usually, natural language processing is implemented to solve several problems, such as information retrieval. However, problems such as natural language ambiguity remain unsolved due to the complexity of natural language itself. This issue thus requires further research. Recent studies on semantic query formulation have attempted to resolve ambiguous natural language by proposing different disambiguation approaches. Most such processes are either implemented manually or semi-automated. In the same vein, most recent systems solve ambiguity by using an external dictionary such as WordNet or by providing suggestions manually. The present research proposes a statistical linguistic technique for solving the problem of ambiguity automatically. The proposed technique is experimentally tested on a Quran ontology with queries from the Islamic Research Foundation Website and increases the result of precision and recall by 6% and 10%, respectively. Faculty of Computer Science and Information Technology, University of Malaya 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73859/1/Semantic%20ambiguous%20query%20formulation%20.pdf A. Kadir, Rabiah and Yauri, Rufai Aliyu and Azman, Azreen (2018) Semantic ambiguous query formulation using statistical linguistics technique. Malaysian Journal of Computer Science (spec.). 48 - 56. ISSN 0127-9084 https://ejournal.um.edu.my/index.php/MJCS/article/view/15487 10.22452/mjcs.sp2018no1.4 |
| spellingShingle | A. Kadir, Rabiah Yauri, Rufai Aliyu Azman, Azreen Semantic ambiguous query formulation using statistical linguistics technique |
| title | Semantic ambiguous query formulation using statistical linguistics technique |
| title_full | Semantic ambiguous query formulation using statistical linguistics technique |
| title_fullStr | Semantic ambiguous query formulation using statistical linguistics technique |
| title_full_unstemmed | Semantic ambiguous query formulation using statistical linguistics technique |
| title_short | Semantic ambiguous query formulation using statistical linguistics technique |
| title_sort | semantic ambiguous query formulation using statistical linguistics technique |
| url | http://psasir.upm.edu.my/id/eprint/73859/ http://psasir.upm.edu.my/id/eprint/73859/ http://psasir.upm.edu.my/id/eprint/73859/ http://psasir.upm.edu.my/id/eprint/73859/1/Semantic%20ambiguous%20query%20formulation%20.pdf |