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

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Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

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.

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Notes

  1. 1.

    http://nosql-database.org/.

  2. 2.

    http://www.mongodb.org/.

  3. 3.

    http://couchdb.apache.org/.

  4. 4.

    http://www.w3.org/TR/owl-features/.

  5. 5.

    http://dbs.uni-leipzig.de/en/research/projects/schema_and_ontology_matching/coma_3_0/coma_3_0_community_edition.

  6. 6.

    https://www.w3.org/.

  7. 7.

    https://www.w3.org/2001/sw/wiki/Pellet.

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Authors and Affiliations

  1. MIRACL Laboratory, Higher Institute of Computer Science and Multimedia, Sfax University, Sfax, Tunisia

    Hanen Abbes & Faiez Gargouri

Authors
  1. Hanen Abbes
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  2. Faiez Gargouri
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Corresponding author

Correspondence to Hanen Abbes .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

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Abbes, H., Gargouri, F. (2017). M2Onto: An Approach and a Tool to Learn OWL Ontology from MongoDB Database. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_60

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  • DOI: https://doi.org/10.1007/978-3-319-53480-0_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53479-4

  • Online ISBN: 978-3-319-53480-0

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