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A taxonomy and survey of semantic approaches for query expansion

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

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Semantics, Ontologies, Thesauri, Taxonomy, Vocabulary, Linguistics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. Rahmah Mokhtar
Date Deposited: 25 Jun 2019 07:38
Last Modified: 25 Jun 2019 07:38
URI: http://umpir.ump.edu.my/id/eprint/24761
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