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

页码：510 / 513

页数：4

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