A taxonomy and survey of semantic approaches for query expansion
Conventional approaches to query expansion (QE) rely on the integration of an unstructured corpus and probabilistic rules for the extraction of candidate expansion terms. These methods do not consider search query semantics, thereby resulting in ineffective retrieval of information. The semantic app...
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| Format: | Article |
| Language: | English |
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IEEE
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/24761/ http://umpir.ump.edu.my/id/eprint/24761/1/08625452.pdf |
| _version_ | 1848822115721019392 |
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| author | Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Pasha, Maruf Pasha, Urooj |
| author_facet | Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Pasha, Maruf Pasha, Urooj |
| author_sort | Raza, Muhammad Ahsan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Conventional approaches to query expansion (QE) rely on the integration of an unstructured corpus and probabilistic rules for the extraction of candidate expansion terms. These methods do not consider search query semantics, thereby resulting in ineffective retrieval of information. The semantic approaches for QE overcome this limitation, whereby a search query is expanded with meaningful terms that accord with user information needs. This paper surveys recent approaches to semantic QE that employ different models and strategies and leverages various knowledge structures. We organize these approaches into a taxonomy that includes linguistic methods, ontology-based methods, and mixed-mode methods. We also discuss the strengths and limitations of each type of semantic QE method. In addition, we evaluate various semantic QE approaches in terms of knowledge structure utilization, corpus collection, baseline model adaptation, and retrieval performance. Finally, future directions in exploiting personalized social information and multiple ontologies for semantic QE are suggested. |
| first_indexed | 2025-11-15T02:36:07Z |
| format | Article |
| id | ump-24761 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:36:07Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-247612019-06-25T07:38:07Z http://umpir.ump.edu.my/id/eprint/24761/ A taxonomy and survey of semantic approaches for query expansion Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Pasha, Maruf Pasha, Urooj QA75 Electronic computers. Computer science Conventional approaches to query expansion (QE) rely on the integration of an unstructured corpus and probabilistic rules for the extraction of candidate expansion terms. These methods do not consider search query semantics, thereby resulting in ineffective retrieval of information. The semantic approaches for QE overcome this limitation, whereby a search query is expanded with meaningful terms that accord with user information needs. This paper surveys recent approaches to semantic QE that employ different models and strategies and leverages various knowledge structures. We organize these approaches into a taxonomy that includes linguistic methods, ontology-based methods, and mixed-mode methods. We also discuss the strengths and limitations of each type of semantic QE method. In addition, we evaluate various semantic QE approaches in terms of knowledge structure utilization, corpus collection, baseline model adaptation, and retrieval performance. Finally, future directions in exploiting personalized social information and multiple ontologies for semantic QE are suggested. IEEE 2019-01-24 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24761/1/08625452.pdf Raza, Muhammad Ahsan and Rahmah, Mokhtar and Noraziah, Ahmad and Pasha, Maruf and Pasha, Urooj (2019) A taxonomy and survey of semantic approaches for query expansion. IEEE Access, 7. pp. 17823-17833. ISSN 2169-3536. (Published) https://doi.org/10.1109/ACCESS.2019.2894679 https://doi.org/10.1109/ACCESS.2019.2894679 |
| spellingShingle | QA75 Electronic computers. Computer science Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad Pasha, Maruf Pasha, Urooj A taxonomy and survey of semantic approaches for query expansion |
| title | A taxonomy and survey of semantic approaches for query expansion |
| title_full | A taxonomy and survey of semantic approaches for query expansion |
| title_fullStr | A taxonomy and survey of semantic approaches for query expansion |
| title_full_unstemmed | A taxonomy and survey of semantic approaches for query expansion |
| title_short | A taxonomy and survey of semantic approaches for query expansion |
| title_sort | taxonomy and survey of semantic approaches for query expansion |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/24761/ http://umpir.ump.edu.my/id/eprint/24761/ http://umpir.ump.edu.my/id/eprint/24761/ http://umpir.ump.edu.my/id/eprint/24761/1/08625452.pdf |