Paper Info
Title
M2Onto: An Approach and a Tool to Learn OWL Ontology from MongoDB Database.
Abstract
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.
Year
DOI
Venue
2016
10.1007/978-3-319-53480-0_60
INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016)
Keywords
Field
DocType
NOSQL database,MongoDB,Ontology learning,OWL,Transformation rules
Ontology (information science),Ontology,Information retrieval,Computer science,NoSQL,OWL-S,Knowledge extraction,Ontology learning,Database,Web Ontology Language
Conference
Volume
ISSN
Citations 
557
2194-5357
1
PageRank 
References 
Authors
0.35
0
2
Name
Order
Citations
PageRank
Hanen Abbes110.35
Faïez Gargouri224492.29