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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Main Authors:	Raza, Muhammad Ahsan, Rahmah, Mokhtar, Noraziah, Ahmad, Pasha, Maruf, Pasha, Urooj
Format:	Article
Language:	English
Published:	IEEE 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	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

id	ump-24761
recordtype	eprints
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 https://doi.org/10.1109/ACCESS.2019.2894679 https://doi.org/10.1109/ACCESS.2019.2894679
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 Pasha, Maruf Pasha, Urooj A taxonomy and survey of semantic approaches for query expansion
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.
format	Article
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
title	A taxonomy and survey of semantic approaches for query expansion
title_short	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_sort	taxonomy and survey of semantic approaches for query expansion
publisher	IEEE
publishDate	2019
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
first_indexed	2023-09-18T22:37:40Z
last_indexed	2023-09-18T22:37:40Z
_version_	1777416704190578688

A taxonomy and survey of semantic approaches for query expansion

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