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Semantic Oriented Data Modeling Based on RDF, RDFS and OWL

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1105))

Abstract

The original aim of RDF and OWL data models was to encourage the semantic web to get a web of interlinked data. Many efforts have also been done to make data of existing enterprise applications available to the semantic web by converting associated data models to equivalent RDF and OWL ones. The majority of such applications are however developed using classical relational modeling methodologies. In this paper we propose the use of RDF and OWL frameworks as a basis for data modeling for the development of enterprise applications. Furthermore we propose an approach for an efficient semantic data modeling and show its effectiveness by giving a comparison of our approach with the classical relational data modeling.

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Authors and Affiliations

  1. LITEN Lab, Faculty of Sciences and Techniques, Hassan I University, Settat, Morocco

    Khadija Alaoui & Mohamed Bahaj

Authors
  1. Khadija Alaoui
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  2. Mohamed Bahaj
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Corresponding author

Correspondence to Khadija Alaoui .

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Editors and Affiliations

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

    Mostafa Ezziyyani

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Alaoui, K., Bahaj, M. (2020). Semantic Oriented Data Modeling Based on RDF, RDFS and OWL. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1105. Springer, Cham. https://doi.org/10.1007/978-3-030-36674-2_42

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