Towards a Historical Ontology for Arabic Language: Investigation and Future Directions

Laatar, Rim; Rhayem, Ahlem; Aloulou, Chafik; Belguith, Lamia Hadrich

doi:10.1007/978-3-030-96308-8_100

Cited by 2 publications

(1 citation statement)

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“…In (Laatar et al, 2022), the authors propose an historical ontology for the Arabic language. The aim of this ontology is to capture the evolution of Arabic words and their diverse meaning over centuries.…”

Section: 12ontologies-based Approachesmentioning

confidence: 99%

A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge

Neji¹,

Ghorbel²,

Gargouri³

et al. 2022

International Journal of Information Technology and Web Engineering

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The authors propose a semantic and smart assistance framework for handling linguistic knowledge, called LingFramework. It targets both expert and novice users. It aims to assist the user in understanding the different aspects of the linguistic domain and ease the process of proposing lingware applications. LingFramework is based on a multilingual linguistic domain ontology called LingOnto. It allows (1) representing linguistic data, linguistic processing functionalities and linguistic processing features, and (2) reasoning, via a SWRL-based reasoning engine, about the linguistic knowledge. Currently, it covers English, French, and Arabic languages. To facilitate the interaction with LingOnto, an ontology visualization tool called LingGraph is proposed. It offers an easy-to-use interface for users not familiar with ontologies. It provides a SPARQL pattern-based approach to allow a smart search interaction functionality. LingFramework is applied to assist the user in identifying valid linguistic processing pipelines related to lingware applications. The evaluation results are promising.

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Section: 12ontologies-based Approachesmentioning

confidence: 99%

A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge

Neji¹,

Ghorbel²,

Gargouri³

et al. 2022

International Journal of Information Technology and Web Engineering

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An Exhaustive Literature Review of Hadith Text Mining

Mosa¹

2023

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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The Quran and the hadith of the Prophet are the two sources of legislation for Muslims. Sharia rulings and laws are not only derived from the Quran but also the bulk of them come through hadith. Understanding the hadith, its classification, and verification of its authenticity is vital to reach detailed rulings, as the volume of the hadith is many times greater than the volume of the Quran. As a result, mining in the hadith text is one of the things that has attracted the attention of researchers in the past few years. In this study, we conducted a survey of all the techniques and systems related to the mining of the hadith in its two parts, the Al-Matn and the Al-Sanad. On the other hand, the challenges and obstacles which confronted researchers have been shown; in addition, some suggested tips were highlighted to overcome those challenges. Furthermore, the most essential modern techniques used in the classification of Arabic texts, which gave a high degree of efficiency, were highlighted as milestones for future studies.

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Towards a Historical Ontology for Arabic Language: Investigation and Future Directions

Cited by 2 publications

References 12 publications

A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge

A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge

An Exhaustive Literature Review of Hadith Text Mining

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