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Crafting OWL Ontologies from MongoDB: A Formal Concept Analysis (FCA) Approach

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) (AI2SD 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 930))

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Abstract

Utilizing ontologies enables the sharing and reuse of knowledge within specific domains. However, develo** an ontology from scratch is a time-consuming and error-prone task. This necessitates an approach that simplifies the intricate process by utilizing existing resources. In this study, we introduce an improved method for learning OWL ontology from a NoSQL database, specifically MongoDB. Our approach, grounded in Formal Concept Analysis and a set of map** rules, automates the generation of a comprehensive ontology from complex NoSQL databases. The process involves three key phases: (1) constructing a Formal Context from MongoDB, (2) employing formal concept analysis to derive a concept lattice from the created context, and (3) transforming the concept lattice into an initial ontology representation. We have validated the efficacy of our proposed learning rules through practical application.

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References

  1. Chiang, R.H.L., Barron, T.M., Storey, V.C.: Reverse engineering of relational databases: extraction of an EER model from a relational database. Data Knowledge Eng. 12(2), 107–142 (1994)

    Article  Google Scholar 

  2. Ding, Y., Feng, Z.: OWL ontology extraction from relational databases via database reverse engineering. In: Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management, pp. 145–155. Springer, Berlin, Heidelberg (2014)

    Google Scholar 

  3. Simin, J., Stoffel, K.: Ontology extraction from MongoDB using Formal Concept Analysis Information Management Institute University of Neuchatel Neuchatel, Switzerland (2017)

    Google Scholar 

  4. Wille, R.: Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts. Ordered sets. Springer Netherlands, pp. 445–470 (1982)

    Google Scholar 

  5. Ganter, B., Wille, R.: Formal concept analysis: mathematical foundations. Springer Science Business Media (2012)

    Google Scholar 

  6. https://m-soro.github.io/Business-Analytics/SQL-for-Data-Analysis/L4-Project-Query-Music-Store/

  7. https://protege.stanford.edu/

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Sciences, LAROSERI Laboratory, Chouaib Doukkali University, Eljadida, Morocco

    Elmehdi Elguerraoui & Omar Boutkhoum

Authors
  1. Elmehdi Elguerraoui
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  2. Omar Boutkhoum
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Corresponding author

Correspondence to Elmehdi Elguerraoui .

Editor information

Editors and Affiliations

  1. Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Automatics and Applied Software at the Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Elguerraoui, E., Boutkhoum, O. (2024). Crafting OWL Ontologies from MongoDB: A Formal Concept Analysis (FCA) Approach. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-031-54318-0_25

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