Toward an Arabic ontology for Arabic word sense disambiguation based on normalized dictionaries

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Abstract

In this paper, we propose an approach for constructing Arabic Ontology based on normalized dictionaries. This approach mainly consists in transforming non structured Arabic dictionaries into LMF (Lexical Markup Framework) based-normalized ones. We are basically exploiting Arabic dictionaries of Hadith for experimentation. Then, from an Arabic normalized dictionary of Hadith, an ontology will be constructed. It represents hidden knowledge in Hadith texts. It will be next integrated into an information retrieval and navigation system. We will take advantage of it to semantically disambiguate Arabic terms of both the formulated user query and/or the Arabic texts with application on texts of Hadith.

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Soudani, N., Bounhas, I., Elayeb, B., & Slimani, Y. (2014). Toward an Arabic ontology for Arabic word sense disambiguation based on normalized dictionaries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8842, pp. 655–658). Springer Verlag. https://doi.org/10.1007/978-3-662-45550-0_68

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