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The OntoOO-Method: An Ontology-Driven Conceptual Modeling Approach for Evolving the OO-Method

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Advances in Conceptual Modeling (ER 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11787))

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Abstract

A conceptual model compiler could be the next step in software engineering terms to achieve conceptual programming. In other words, the model is the code instead of the code is the model. This Ph.D. work faces directly this challenge. To make it feasible, we must answer two main research questions: How to integrate models developed by languages supported by ontologies with different ontological commitments? This will be a question solved by characterizing the ontological framework that determines the basic conceptual building units that ontology-driven conceptual models should include. Finally, what is the best approach for the integration process among those models? This will be a question solved by applying the results of the first research question to the OO-Method approach creating an ontologically well-supported method we call OntoOO-Method. The reported Ph.D. work is an advanced state because the ontology resulting from the first research question is almost complete, and now the author is facing the engineering problem of designing the OntoOO-Method approach.

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Notes

  1. 1.

    http://www.integranova.com.

  2. 2.

    http://personales.upv.es/beaframa/research/ontooo-method/ooom.html.

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Acknowledgments

This work has been supported by the “Programa Santiago Grisolí­a” of the “Universitat Poliècnica de València”, also has the support of “Generalitat Valenciana” through project IDEO (PROMETEOII/2014/039) and Spanish Ministry of Science and Innovation through project DataME (ref: TIN2016-80811-P).

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Correspondence to Beatriz Franco Martins .

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Martins, B.F. (2019). The OntoOO-Method: An Ontology-Driven Conceptual Modeling Approach for Evolving the OO-Method. In: Guizzardi, G., Gailly, F., Suzana Pitangueira Maciel, R. (eds) Advances in Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11787. Springer, Cham. https://doi.org/10.1007/978-3-030-34146-6_23

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  • DOI: https://doi.org/10.1007/978-3-030-34146-6_23

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