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공공누리This item is licensed Korea Open Government License

dc.contributor.author
Farhan, Yasir Hadi
dc.contributor.author
Noah, Shahrul Azman Mohd
dc.contributor.author
Mohd, Masnizah
dc.date.accessioned
2021-11-24T02:42:34Z
dc.date.available
2021-11-24T02:42:34Z
dc.date.issued
2020-12-30
dc.identifier.issn
2287-4577
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/16186
dc.description.abstract
Information need has been one of the main motivations for a person using a search engine. Queries can represent very different information needs. Ironically, a query can be a poor representation of the information need because the user can find it difficult to express the information need. Query Expansion (QE) is being popularly used to address this limitation. While QE can be considered as a language-independent technique, recent findings have shown that in certain cases, language plays an important role. Arabic is a language with a particularly large vocabulary rich in words with synonymous shades of meaning and has high morphological complexity. This paper, therefore, provides a review on QE for Arabic information retrieval, the intention being to identify the recent state-of-the-art of this burgeoning area. In this review, we primarily discuss statistical QE approaches that include document analysis, search, browse log analyses, and web knowledge analyses, in addition to the semantic QE approaches, which use semantic knowledge structures to extract meaningful word relationships. Finally, our conclusion is that QE regarding the Arabic language is subjected to additional investigation and research due to the intricate nature of this language.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Korea Institute of Science and Technology Information
dc.relation.ispartofseries
Journal of Information Science Theory and Practice;Volume 8 Issue 4
dc.title
Survey of Automatic Query Expansion for Arabic Text Retrieval
dc.type
Serial
dc.identifier.doi
https://doi.org/10.1633/JISTaP.2020.8.4.6
dc.contributor.approver
KOAR, ADMIN
dc.date.dateaccepted
2021-11-24T02:42:34Z
dc.date.datesubmitted
2021-11-24T02:42:34Z
dc.subject.keyword
information retrieval
dc.subject.keyword
Arabic text retrieval
dc.subject.keyword
query expansion
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8. KISTI 간행물 > JISTaP > Vol. 8 - No. 4
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