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An adaptation of Text2Onto for supporting the French language

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 4 (2020)

DOI
10.11591/ijece.v10i4.pp3743-3750
ISSN
2722-2578, 2088-8708
Published
2020-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The ontologies are progressively imposing themselves in the field of knowledge management. While the manual construction of an ontology is by far the most reliable, this task has proved to be too tedious and expensive. To assist humans in the process of building an ontology, several tools have emerged proposing the automatic or semi-automatic construction of ontologies. In this context, Text2Onto has become one of the most recognized ontology learning tools. The performance of this tool is confirmed by several research works. However, the development of this tool is based on Princeton WordNet (PWN) for English. As a result, it is limited to the processing of textual resources written in English. In this paper, we present our approach based on JWOLF, a Java API to access the free WordNet for French that we have developed to adapt this tool for the construction of ontologies from corpus in French. To evaluate the usefulness of our approach, we assessed the performance of the improved version of Text2Onto on a simplistic corpus of French language documents. The results of this experiment have shown that the improved version of Text2Onto according to our approach is effective for the construction of an ontology from textual documents in the French language.

Collaboration network of the authors

22 authors · 45 co-authorship links · 6 across different organisations

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  • University of Hassan II Casablanca
  • École Normale Supérieure de l'Enseignement Technique de Mohammedia
  • Arts et Métiers
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Abir El YamamiUniversity of Hassan II Casablanca4
Ansar DaghouriUniversity of Hassan II Casablanca3
Mustapha RiadUniversity of Hassan II Casablanca3
Abdelghani LakhdarUniversity of Hassan II Casablanca2
Zineb LaabidUniversity of Hassan II Casablanca2
El Hossein IllousamenAffiliation unknown2
Lamia MoudoubahUniversity of Hassan II Casablanca2
Marouane El MidaouiUniversity of Hassan II Casablanca2
Amina OuatiqUniversity of Hassan II Casablanca2
Kamal ElGuemmatAffiliation unknown2
Soukaina GouraguineUniversity of Hassan II Casablanca2
Aziz MoumenUniversity of Hassan II Casablanca1
Abdelilah ChahidÉcole Normale Supérieure de l'Enseignement Technique de Mohammedia1
Souad AhrizÉcole Normale Supérieure de l'Enseignement Technique de Mohammedia1
Kamal El GuemmatÉcole Normale Supérieure de l'Enseignement Technique de Mohammedia1
Es-Saâdia AoulaUniversity of Hassan II Casablanca1
Ayoub El-AlamiUniversity of Hassan II Casablanca1
Younes NadirUniversity of Hassan II Casablanca1
Ali SiadatArts et Métiers1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>An adaptation of Text2Onto for supporting the French language</dc:title><dc:creator>Hajji, Morad</dc:creator><dc:creator>Qbadou, Mohammed</dc:creator><dc:creator>Mansouri, Khalifa</dc:creator><dc:description>&lt;jats:p&gt;The ontologies are progressively imposing themselves in the field of knowledge management. While the manual construction of an ontology is by far the most reliable, this task has proved to be too tedious and expensive. To assist humans in the process of building an ontology, several tools have emerged proposing the automatic or semi-automatic construction of ontologies. In this context, Text2Onto has become one of the most recognized ontology learning tools. The performance of this tool is confirmed by several research works. However, the development of this tool is based on Princeton WordNet (PWN) for English. As a result, it is limited to the processing of textual resources written in English. In this paper, we present our approach based on JWOLF, a Java API to access the free WordNet for French that we have developed to adapt this tool for the construction of ontologies from corpus in French. To evaluate the usefulness of our approach, we assessed the performance of the improved version of Text2Onto on a simplistic corpus of French language documents. The results of this experiment have shown that the improved version of Text2Onto according to our approach is effective for the construction of an ontology from textual documents in the French language.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2020-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v10i4.pp3743-3750</dc:identifier><dc:identifier>10.11591/ijece.v10i4.pp3743-3750</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 10 No 4 (2020); 3743</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/20606/14041</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>