Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language Potential
Figurative language, encompassing metaphor, hyperbole, and metonymy, is deeply embedded in Arabic discourse and presents considerable challenges related to Arabic’s rich morphology, dialectal diversity, and complex syntax. In response to these challenges, this study introduces a novel mul...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11112775/ |
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| author | Zouheir Banou Sanaa El Filali El Habib Benlahmar Laila Eljiani Fatima-Zahra Alaoui |
| author_facet | Zouheir Banou Sanaa El Filali El Habib Benlahmar Laila Eljiani Fatima-Zahra Alaoui |
| author_sort | Zouheir Banou |
| collection | DOAJ |
| description | Figurative language, encompassing metaphor, hyperbole, and metonymy, is deeply embedded in Arabic discourse and presents considerable challenges related to Arabic’s rich morphology, dialectal diversity, and complex syntax. In response to these challenges, this study introduces a novel multi-layered ontology construction framework aimed at systematically capturing and formalizing linguistic features essential for the annotation of figurative language in Arabic texts. The proposed framework comprises four interrelated layers–Lexical, Grammatical, Inflectional, and Categorical–and integrates external lexical resources, such as Wiktionary, dependency parsing, and morphological analysis to model syntactic, morphological, and semantic relationships. The ontology supports key NLP applications, including word sense disambiguation, semantic search, and text summarization. Experimental evaluation demonstrates the scalability and effectiveness of the framework, resulting in the structured representation of over 41,000 Arabic lexical entries and approximately 830,000 morphological inflections. Theoretically, this work advances the formal modeling of figurative language in morphologically rich languages, while practically, it enables the development of more linguistically grounded and semantically aware Arabic NLP systems. |
| format | Article |
| id | doaj-art-38cdcb913b3448eea93bb99d64be0384 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-38cdcb913b3448eea93bb99d64be03842025-08-20T04:01:48ZengIEEEIEEE Access2169-35362025-01-011313853513855010.1109/ACCESS.2025.359613011112775Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language PotentialZouheir Banou0https://orcid.org/0000-0002-6427-2342Sanaa El Filali1https://orcid.org/0000-0002-4076-9581El Habib Benlahmar2Laila Eljiani3Fatima-Zahra Alaoui4Laboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M’Sick, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M’Sick, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M’Sick, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M’Sick, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory of Artificial Intelligence and Systems, Faculty of Sciences Ben M’Sick, Hassan II University of Casablanca, Casablanca, MoroccoFigurative language, encompassing metaphor, hyperbole, and metonymy, is deeply embedded in Arabic discourse and presents considerable challenges related to Arabic’s rich morphology, dialectal diversity, and complex syntax. In response to these challenges, this study introduces a novel multi-layered ontology construction framework aimed at systematically capturing and formalizing linguistic features essential for the annotation of figurative language in Arabic texts. The proposed framework comprises four interrelated layers–Lexical, Grammatical, Inflectional, and Categorical–and integrates external lexical resources, such as Wiktionary, dependency parsing, and morphological analysis to model syntactic, morphological, and semantic relationships. The ontology supports key NLP applications, including word sense disambiguation, semantic search, and text summarization. Experimental evaluation demonstrates the scalability and effectiveness of the framework, resulting in the structured representation of over 41,000 Arabic lexical entries and approximately 830,000 morphological inflections. Theoretically, this work advances the formal modeling of figurative language in morphologically rich languages, while practically, it enables the development of more linguistically grounded and semantically aware Arabic NLP systems.https://ieeexplore.ieee.org/document/11112775/Arabic ontologyfigurative language annotationlexical relationshipsnatural language processing (NLP) |
| spellingShingle | Zouheir Banou Sanaa El Filali El Habib Benlahmar Laila Eljiani Fatima-Zahra Alaoui Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language Potential IEEE Access Arabic ontology figurative language annotation lexical relationships natural language processing (NLP) |
| title | Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language Potential |
| title_full | Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language Potential |
| title_fullStr | Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language Potential |
| title_full_unstemmed | Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language Potential |
| title_short | Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language Potential |
| title_sort | developing a multi layer ontology construction framework for arabic language processing focus on figurative language potential |
| topic | Arabic ontology figurative language annotation lexical relationships natural language processing (NLP) |
| url | https://ieeexplore.ieee.org/document/11112775/ |
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