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An Ontology based Smart Management of Linguistic Knowledge
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03618012 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2022)
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Abstract:
International audience ; Natural language processing provides a very significant contribution to various application areas such as multilingual big data, information retrieval, data integration and multilingual web. However, handling linguistic knowledge to develop such lingware applications is a crucial issue, especially for linguistic novice users. To deal with this issue, a "smart" linguistic knowledge management may help the user to understand the meaning, scope and especially the use of related techniques and algorithms. In this paper, we propose (1) a semantic processing of linguistic knowledge based on a multilingual linguistic domain ontology, called LingOnto. Compared to related work, LingOnto does not only handles linguistic data, but also linguistic processing functionalities and linguistic processing features. Besides, it allows via a reasoning engine, inferring new linguistic knowledge from those initially entered and assisting in the process of proposing lingware applications. This is particularly useful for novice users, but can also provide new perspectives for expert ones. Lin-gOnto covers the French, English and Arabic languages (2) an assisted visualization based on a user friendly ontology visualization tool called LingGraph to facilitate the interaction with LingOnto. It offers an easy to use interface for users not familiar with ontologies. It provides a SPARQL An Ontology based Smart Management of Linguistic Knowledge pattern-based approach to allow a smart search interaction functionality to visualize only an ontological view based on the user's needs and preferences. In order to evaluate LingOnto and measure its efficiency, we applied it to a framework of identifying valid natural language processing pipelines. Finally, we give the results of the carried-out experiments.
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Keyword:
[INFO]Computer Science [cs]; Linguistic Domain Ontology; Multilingualism; Natural Language Processing; Smart Framework; User Friendly Visualization
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URL: https://hal.archives-ouvertes.fr/hal-03618012/file/JDMDH.pdf
https://hal.archives-ouvertes.fr/hal-03618012
https://hal.archives-ouvertes.fr/hal-03618012/document
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A Multilingual Linguistic Domain Ontology
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In: The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34) ; https://hal.archives-ouvertes.fr/hal-03024567 ; The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34), Oct 2020, Hanoi, Vietnam (2020)
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A Multilingual Semantic Similarity-Based Approach for Question-Answering Systems
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In: International Conference on Knowledge Science, Engineering and Management KSEM 2019 ; https://hal.archives-ouvertes.fr/hal-02465511 ; International Conference on Knowledge Science, Engineering and Management KSEM 2019, Aug 2019, Athènes, Greece. ⟨10.1007/978-3-030-29551-6_54⟩ (2019)
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Smart graphical dialogue, based on an ontology, for a memory prosthesis ; Dialogue graphique intelligent, fondé sur une ontologie, pour une prothèse de mémoire
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In: https://tel.archives-ouvertes.fr/tel-01884550 ; Bio-informatique [q-bio.QM]. Conservatoire national des arts et metiers - CNAM; Université de Sfax (Tunisie). Faculté des Sciences économiques et de gestion, 2018. Français. ⟨NNT : 2018CNAM1181⟩ (2018)
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A Memory Training for Alzheimer Patients
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In: SETIT 2018: Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.1 ; SETIT 2018 ; https://hal.archives-ouvertes.fr/hal-02468599 ; SETIT 2018, Dec 2018, Gênes, Italy. pp.410-419, ⟨10.1007/978-3-030-21005-2_40⟩ (2018)
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