Fuzzy Query over Ontologies based on Relational Databases

被引：0

作者：

Tong, Qiang ^{[1
]}

Zhang, Fu ^{[2
]}

Cheng, Jingwei ^{[2
]}

机构：

[1] Northeastern Univ, Sch Software, Shenyang, Liaoning, Peoples R China

[2] Northeastern Univ, Sch Comp Sci & Engn, Shenyang, Liaoning, Peoples R China

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 1 | 2017年

基金：

中国国家自然科学基金;

关键词：

Ontology; Relational Database; Fuzzy Query;

D O I：

10.1109/CSE-EUC.2017.58

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

With the increasing use of ontologies in the Semantic Web and various applications, it is critical to supply efficient methods to query the information in ontologies. Especially fuzzy query, which is closer to the nature language, has been paid more and more attention in recently. This paper presents a method of fuzzy queries for ontologies based on relational databases. We first present a storage model of ontologies in relational databases. On this basis, we further propose an approach for fuzzy queries over ontologies by transforming the fuzzy queries over ontologies into the SQL queries over the stored relational databases, and the query algorithms are also proposed. Finally, the case studies show that the approach is feasible.

引用

页码：282 / 290

页数：9

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