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A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge: A Framework and Case Implementation

Author

Listed:
  • Mariem Neji

    (MIRACL, Tunisia)

  • Fatma Ghorbel

    (MIRACL, Tunisia)

  • Bilel Gargouri

    (MIRACL, Tunisia)

  • Nada Mimouni

    (ISID, CEDRIC, France)

  • Elisabeth Métais

    (CNAM, France)

Abstract

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.

Suggested Citation

  • Mariem Neji & Fatma Ghorbel & Bilel Gargouri & Nada Mimouni & Elisabeth Métais, 2022. "A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge: A Framework and Case Implementation," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 17(1), pages 1-20, January.
    • Handle: RePEc:igg:jitwe0:v:17:y:2022:i:1:p:1-20
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