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Ontology Engineering Methodologies: State of the Art

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Proceedings of the 5th International Conference on Big Data and Internet of Things (BDIoT 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 489))

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Abstract

Recently, the use of ontologies has become more popular in both academia and industry fields. However, many ontology projects have failed due to, at least in part, a lack of discipline in the development process; that is, the poorly specified, underspecified, or lack of requirements and evaluation criteria. Therefore, it is reasonable to ask: what is the most prominent methodology to develop an ontology? To answer this question in this paper, we reviewed the most prominent ontology engineering methodologies, and analyzed the most mature and suitable approaches for the development of ontology based on a set of criteria. We also provide a better understanding of ontology engineering methodology, most used ontology engineering methodologies, current prominent methods, and future research scope for standard ontology engineering methodology. This study shows that no methodology enjoys consensus among the community, and none of these methodologies are mature enough and without limitations. Finally, we concluded that Krisnadhi & Hitzler methodology remains very practical and much more detailed in a step-by-step manner. The fact that it is based on ontology design patterns ensures that there is a trade-off between interoperability, on the one hand, and over-commitment and conflicting requirements on the other hand.

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Authors and Affiliations

  1. LRIT-CNRST (URAC’29), Faculty of Sciences, Rabat IT Center, Mohammed V University, Rabat, Morocco

    Jalil ElHassouni

  2. High School of Technology in Sale, Mohammed V University in Rabat, Rabat, Morocco

    Abderrahim El Qadi

Authors
  1. Jalil ElHassouni
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  2. Abderrahim El Qadi
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Corresponding author

Correspondence to Jalil ElHassouni .

Editor information

Editors and Affiliations

  1. ENSIAS, Mohammed V University, Rabat, Morocco

    Mohamed Lazaar

  2. UNILEHAVRE, UNIROUEN, Normandie Université, Le Havre, France

    Claude Duvallet

  3. Vrije Universiteit Brussel, Brussels, Belgium

    Abdellah Touhafi

  4. ENSA, Abdelmalek Essaâdi University, Tetuan, Morocco

    Mohammed Al Achhab

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ElHassouni, J., Qadi, A.E. (2022). Ontology Engineering Methodologies: State of the Art. In: Lazaar, M., Duvallet, C., Touhafi, A., Al Achhab, M. (eds) Proceedings of the 5th International Conference on Big Data and Internet of Things. BDIoT 2021. Lecture Notes in Networks and Systems, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-031-07969-6_5

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