Automatic Construction of Ontology from Arabic Texts

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dc.contributor.authorMazari, Ahmed Cherif
dc.contributor.authorAliane, Hassina
dc.contributor.authorAlimazighi, Zaia
dc.date.accessioned2023-09-19T09:32:06Z
dc.date.available2023-09-19T09:32:06Z
dc.date.issued2012-04-29
dc.description.abstractThe work which will be presented in this paper is related to the building of an ontology of domain for the Arabic linguistics. We propose an approach of automatic construction that is using statistical techniques to extract elements of ontology from Arabic texts. Among these techniques we use two; the first is the "repeated segment" to identify the relevant terms that denote the concepts associated with the domain and the second is the "co-occurrence" to link these new concepts extracted to the ontology by hierarchical or non- hierarchical relations. The processing is done on a corpus of Arabic texts formed and prepared in advance.
dc.identifier.urihttps://dl.cerist.dz/handle/CERIST/975
dc.language.isoen
dc.publisherUniversité Djillali LIABES Sidi-Bel-Abbès
dc.subjectOntology
dc.subjectInformation Extraction (IE)
dc.subjectArabic Natural Language Processing (Arabic-NLP)
dc.subjectStatistical methods for text processing
dc.titleAutomatic Construction of Ontology from Arabic Texts
dc.typeArticle
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