Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/112018


Title: A novel query expansion method for military news retrieval service
Authors: Chen, Liang-Chu
Chao, Wen-Tsan
Hsieh, Chia-Jung
Contributors: 資訊管理學系
Keywords: Computational linguistics;Information analysis;Natural language processing systems;Ontology;Query processing;Search engines;Semantics;Data categories;Defense technologies;K2FCQE;Medical science;Military domains;Military News;Query expansion;Semantic query expansion;Formal concept analysis
Date: 2014
Issue Date: 2017-08-17 15:47:13 (UTC+8)
Abstract: Since most search engines retrieve documents strictly based on keywords, they cannot obtain other content that is similar in idea but different in keywords. Therefore, semantic query expansion is very important and ontology is a critical foundation for supporting semantic query expansion. Ontology has been used in Information Retrieval, Data Category, Library Sciences and Medical Sciences; however, its use is rare in the Military Domain. There are two purposes for this research. The first is to use a 'Military Dictionary' database as a fundamental and combine it with the procedure of formal concept analysis to automatically construct the relationship between military ontology and vocabulary concepts. The second is to use military news from the 'Defense Technology Military Database' as a training data resource, to design a novel query expansion with the Keyword to Formal Concept Query Expansion (K2FCQE) algorithm and then to proceed query mode verification. The results of this research verify that the K2FCQE is more efficient than other query expansions. © 2014 IEEE.
Relation: Proceedings of the International Conference on Asian Language Processing 2014, IALP 2014, 183-186
International Conference on Asian Language Processing 2014, IALP 2014; Hilton Kuching HotelKuching; Malaysia; 20 October 2014 到 22 October 2014; 類別編號CFP1444I-ART; 代碼 113673
Data Type: conference
DOI 連結: http://dx.doi.org/10.1109/IALP.2014.6973491
Appears in Collections:[資訊管理學系] 會議論文

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