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

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 conside...

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Bibliographic Details
Published inIntelligent Systems Design and Applications Vol. 557; pp. 612 - 621
Main Authors Abbes, Hanen, Gargouri, Faiez
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesAdvances in Intelligent Systems and Computing
Subjects
Artificial intelligence
MongoDB
NOSQL database
Ontology learning
OWL
Transformation rules
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Summary: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.
ISBN:9783319534794
3319534793
ISSN:2194-5357
2194-5365
DOI:10.1007/978-3-319-53480-0_60