M2Onto: An Approach and a Tool to Learn OWL Ontology from MongoDB Database

被引：4

作者：

Abbes, Hanen ^{[1
]}

Gargouri, Faiez ^{[1
]}

机构：

[1] Sfax Univ, Higher Inst Comp Sci & Multimedia, MIRACL Lab, Sfax, Tunisia

来源：

INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016) | 2017年 / 557卷

关键词：

NOSQL database; MongoDB; Ontology learning; OWL; Transformation rules;

D O I：

10.1007/978-3-319-53480-0_60

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Ontologies provide shared and reusable pieces of knowledge about a specific domain. Building an ontology by hand is a very hard and prone to errors task. Ontology learning from existing resources provides a good solution to this issue. Databases are widely used to store data. They were often considered as the most reliable sources for knowledge extraction. NOSQL databases are more and more used to store data. MongoDB database is emerging as the fastest growing NOSQL database in the world. It belongs to the document oriented databases variant. This paper proposes an approach to learn OWL ontology from data in MongoDB database and describes a tool implementing transformation rules.

引用

页码：612 / 621

页数：10