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공공누리This item is licensed Korea Open Government License

Title
Survey of Automatic Query Expansion for Arabic Text Retrieval
Author(s)
Farhan, Yasir HadiNoah, Shahrul Azman MohdMohd, Masnizah
Publisher
Korea Institute of Science and Technology Information
Publication Year
2020-12-30
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.
Keyword
information retrieval; Arabic text retrieval; query expansion
Journal Title
Journal of Information Science Theory and Practice;Volume 8 Issue 4
ISSN
2287-4577
DOI
https://doi.org/10.1633/JISTaP.2020.8.4.6
Files in This Item:
Thumbnail Survey of Automatic Query Expansion for Arabic Text Retrieval.pdf374.55 kBDownload
Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 8 - No. 4
Type
Serial
URI
https://repository.kisti.re.kr/handle/10580/16186
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