Research on mechanism of agricultural FAQ retrieval based on ontology

被引：8
|
作者：
Wang, Fang [1 ]
Teng, Guifa [1 ]
Ren, Lisheng [1 ]
Ma, JianBin [1 ]
机构：
[1] Agr Univ Hebei, Coll Informat Sci & Technol, Hebei, Peoples R China
来源：
PROCEEDINGS OF NINTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING | 2008年
关键词：
D O I：
10.1109/SNPD.2008.41
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an ontology-based system for the agricultural FA Q retrieval was presented. A small pool of candidate question-answering pairs and sentence similarity were obtained using ontology-based automatic classification. The best performance was got based on splitted vector space model and semantic concept. The experiment was made to test the effect of the system. The satisfying results were obtained which proved that the system could effectively improve the performance of the agricultural domain FAQ retrieval system comparing with the baseline Keyword FAQ system.
引用
收藏
页码：955 / 958
页数：4
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