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International Workshop on AI Approaches to the Complexity of Legal Systems

International Workshop on AI Approaches to the Complexity of Legal Systems

International Workshop on AI Approaches to the Complexity of Legal Systems

International Workshop on AI Approaches to the Complexity of Legal Systems

International Workshop on AI Approaches to the Complexity of Legal Systems

AICOL 2015, AICOL 2016, AICOL 2016, AICOL 2017, AICOL 2017: AI Approaches to the Complexity of Legal Systems pp 394–409Cite as

Application of Ontology Modularization for Building a Criminal Domain Ontology

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10791))

Abstract

The Ontology modularization is an essential field in the ontology engineering domain helping to reduce the complexity and the difficulties of building, reusing, managing and reasoning on domain ontologies either by applying partitioning or composition approaches. This paper carries out a survey on ontology modularization and presents a modular approach to build criminal modular domain ontology (CriMOnto) for modelling the legal norms of the Lebanese criminal system. CriMOnto, which will be used later for a legal reasoning system, is composed of four independent modules. The modules will be combined together to compose the whole ontology.

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Acknowledgements

This work has been supported by the European Union with the European Regional Development Fund (ERDF) under Grant Agreement no. HN0002134 in the project CLASSE 2 (“Les Corridors Logistiques: Application a la Vallée de la Seine et son Environnement”), Lebanese University and the National Support from the National Council for Scientific Research in Lebanon (CNRS).

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Authors and Affiliations

  1. LITIS, INSA, Rouen, France

    Mirna El Ghosh & Habib Abdulrab

  2. Faculty of Sciences, Lebanese University, Tripoli, Lebanon

    Hala Naja

  3. Faculty of Engineering, CRSI Research Center, Lebanese University, Tripoli, Lebanon

    Mohamad Khalil

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  1. Mirna El Ghosh
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  2. Hala Naja
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  3. Habib Abdulrab
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  4. Mohamad Khalil
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Correspondence to Mirna El Ghosh .

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Editors and Affiliations

  1. University of Turin, Turin, Italy

    Ugo Pagallo

  2. University of Bologna, Bologna, Italy

    Monica Palmirani

  3. La Trobe University, Melbourne, VIC, Australia

    Pompeu Casanovas

  4. University of Bologna, Bologna, Italy

    Giovanni Sartor

  5. Inria - Sophia Antipolis-Méditerranée, Sophia Antipolis, France

    Serena Villata

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El Ghosh, M., Naja, H., Abdulrab, H., Khalil, M. (2018). Application of Ontology Modularization for Building a Criminal Domain Ontology. In: Pagallo, U., Palmirani, M., Casanovas, P., Sartor, G., Villata, S. (eds) AI Approaches to the Complexity of Legal Systems. AICOL AICOL AICOL AICOL AICOL 2015 2016 2016 2017 2017. Lecture Notes in Computer Science(), vol 10791. Springer, Cham. https://doi.org/10.1007/978-3-030-00178-0_27

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