research-article

An NLP-based ontology population for a risk management generic structure

Authors:

Anne-Marie Alquier,

Violaine PrinceAuthors Info & Claims

CSTST '08: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology

Pages 350 - 355

https://doi.org/10.1145/1456223.1456296

Published: 28 October 2008 Publication History

Abstract

In this paper we propose an NLP-based Ontology Population approach for a Generic Structure instantiation from natural language texts, in the domain of Risk Management. The approach is semi-automatic and based on combined NLP techniques using domain expert intervention for control and validation. It relies on the predicative power of verbs in the instantiation process. It is not domain dependent since it heavily relies on linguistic knowledge.

We demonstrate the effectiveness of our method on the ontology of the PRIMA project (supported by the European community) and we populate this generic domain ontology via an available corpus. A first validation of the approach is done through an experiment with Chemical Fact Sheets from Environmental Protection Agency.

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Cited By

Melo DRodrigues IVaragnolo D(2023)A strategy for archives metadata representation on CIDOC-CRM and knowledge discoverySemantic Web10.3233/SW-22279814:3(553-584)Online publication date: 5-Apr-2023
https://doi.org/10.3233/SW-222798
Iyer VSanagavarapu LRaghu Reddy Y(2022)A Framework for Syntactic and Semantic Quality Evaluation of OntologiesSecure Knowledge Management In The Artificial Intelligence Era10.1007/978-3-030-97532-6_5(73-93)Online publication date: 23-Feb-2022
https://doi.org/10.1007/978-3-030-97532-6_5
Labidi NChaari TBouaziz R(2018)Linguistic Rules for Ontology Population from Customer RequestTransactions on Computational Collective Intelligence XXX10.1007/978-3-319-99810-7_4(72-92)Online publication date: 24-Sep-2018
https://doi.org/10.1007/978-3-319-99810-7_4
Show More Cited By

Index Terms

An NLP-based ontology population for a risk management generic structure
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
  2. Machine learning
    1. Learning settings

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cover image ACM Other conferences

CSTST '08: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology

October 2008

733 pages

ISBN:9781605580463

DOI:10.1145/1456223

Conference Chair:
Lotfi A. Zadeh
University of California
,
General Chairs:
Youakim Badr
INSA-Lyon, France
,
Ajith Abraham
Norwegian University of Science and Technology, Norway
,
Yukio Ohsawa
Tokyo Institute of Technology, Japan
,
Program Chairs:
Richard Chbeir
University of Bourgogne, France
,
Fernando Ferri
IRPPS-CNR, Italy
,
Mario Koeppen
Kyushu Institute of Technology, Japan
,
Dominique Laurent
University of Cergy-Pontoise, France

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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The French Chapter of ACM Special Interest Group on Applied Computing
Ministère des Affaires Etrangères et Européennes
Région Ile de France
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Institute of Electrical and Electronics Engineers Systems, Man and Cybernetics Society
The European Society For Fuzzy And technology
Institute of Electrical and Electronics Engineers France Section
Laboratoire des Equipes Traitement des Images et du Signal
AFIHM: Ass. Francophone d'Interaction Homme-Machine
The International Fuzzy System Association
Laboratoire Innovation Développement
University of Cergy-Pontoise
The World Federation of Soft Computing
Agence de Développement Economique de Cergy-Pontoise
The European Neural Network Society
Comité d'Expansion Economique du Val d'Oise

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2008

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Cited By

Melo DRodrigues IVaragnolo D(2023)A strategy for archives metadata representation on CIDOC-CRM and knowledge discoverySemantic Web10.3233/SW-22279814:3(553-584)Online publication date: 5-Apr-2023
https://doi.org/10.3233/SW-222798
Iyer VSanagavarapu LRaghu Reddy Y(2022)A Framework for Syntactic and Semantic Quality Evaluation of OntologiesSecure Knowledge Management In The Artificial Intelligence Era10.1007/978-3-030-97532-6_5(73-93)Online publication date: 23-Feb-2022
https://doi.org/10.1007/978-3-030-97532-6_5
Labidi NChaari TBouaziz R(2018)Linguistic Rules for Ontology Population from Customer RequestTransactions on Computational Collective Intelligence XXX10.1007/978-3-319-99810-7_4(72-92)Online publication date: 24-Sep-2018
https://doi.org/10.1007/978-3-319-99810-7_4
Labidi NChaari TBouaziz R(2017)An NLP-Based Ontology Population for Intentional StructureIntelligent Systems Design and Applications10.1007/978-3-319-53480-0_89(900-910)Online publication date: 23-Feb-2017
https://doi.org/10.1007/978-3-319-53480-0_89
Cruanes J(2011)Ontology extension and populationProceedings of the 16th international conference on Natural language processing and information systems10.5555/2026011.2026066(342-347)Online publication date: 28-Jun-2011
https://dl.acm.org/doi/10.5555/2026011.2026066
Cruanes J(2011)Ontology Extension and Population: An Approach for the Pharmacotherapeutic DomainNatural Language Processing and Information Systems10.1007/978-3-642-22327-3_51(342-347)Online publication date: 2011
https://doi.org/10.1007/978-3-642-22327-3_51

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