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Authors: Mirna El Ghosh 1 ; Hala Naja 2 ; Habib Abdulrab 1 and Mohamad Khalil 3

Affiliations: 1 INSA, France ; 2 Lebanese University and Faculty of Sciences, Lebanon ; 3 Lebanese University and Faculty of Engineering, Lebanon

ISBN: 978-989-758-220-2

Keyword(s): Ontology Learning, Semi-automatic Extraction, Natural Language Processing, Legal Ontologies, Domain-specific Ontologies.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Ontologies ; Formal Methods ; Knowledge Engineering and Ontology Development ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies ; Pattern Recognition ; Semantic Web ; Simulation and Modeling ; Soft Computing ; Symbolic Systems

Abstract: The objective of this paper is to present the role of Ontology Learning Process in supporting an ontology engineer for creating and maintaining ontologies from textual resources. The knowledge structures that interest us are legal domain-specific ontologies. We will use these ontologies to build legal domain ontology for a Lebanese legal knowledge based system. The domain application of this work is the Lebanese criminal system. Ontologies can be learnt from various sources, such as databases, structured and unstructured documents. Here, the focus is on the acquisition of ontologies from unstructured text, provided as input. In this work, the Ontology Learning Process represents a knowledge extraction phase using Natural Language Processing techniques. The resulted ontology is considered as inexpressive ontology. There is a need to reengineer it in order to build a complete, correct and more expressive domain-specific ontology.

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Paper citation in several formats:
El Ghosh M., Naja H., Abdulrab H. and Khalil M. (2017). Ontology Learning Process as a Bottom-up Strategy for Building Domain-specific Ontology from Legal Texts.In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 473-480. DOI: 10.5220/0006188004730480

@conference{icaart17,
author={Mirna El Ghosh and Hala Naja and Habib Abdulrab and Mohamad Khalil},
title={Ontology Learning Process as a Bottom-up Strategy for Building Domain-specific Ontology from Legal Texts},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={473-480},
publisher={ScitePress},
organization={INSTICC},
doi={10.5220/0006188004730480},
isbn={978-989-758-220-2},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Ontology Learning Process as a Bottom-up Strategy for Building Domain-specific Ontology from Legal Texts
SN - 978-989-758-220-2
AU - El Ghosh M.
AU - Naja H.
AU - Abdulrab H.
AU - Khalil M.
PY - 2017
SP - 473
EP - 480
DO - 10.5220/0006188004730480

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