A Query Optimization Strategy Based on Domain Ontology

被引：1
|
作者：
Xu Jian-liang [1 ]
Xiong Jing [1 ]
Liu Yong [1 ]
机构：
[1] Ocean Univ China, Dept Comp Sci & Technol, Qingdao, Peoples R China
来源：
FIRST IITA INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年
关键词：
Ocean ontology; information retrieval; role;
D O I：
10.1109/JCAI.2009.150
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a strategy of query optimization based on domain ontology. Three kinds of query optimization respectively based on is-a relation, part-of relation, and equivalent-class relation in the domain ontology are investigated. By using this strategy, a domain-specific information searching system building upon GoogleAPI and domain ontology is built, where optimized user query is processed. Comparisons of searching results of optimized and non-optimized query show the effectiveness of the strategy in improving precision and recall of information searching.
引用
收藏
页码：510 / 513
页数：4
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