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

Mariem Neji, F. Ghorbel, Bilel Gargouri, N. Mimouni, Elisabeth Métais
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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.
处理多语言知识的语义和智能框架:框架和案例实现
作者提出了一个用于处理语言知识的语义和智能辅助框架,称为LingFramework。它的目标是专家和新手用户。它旨在帮助用户理解语言领域的不同方面,并简化提出lingware应用程序的过程。LingFramework基于名为LingOnto的多语言领域本体。它允许(1)表示语言数据、语言处理功能和语言处理特征,以及(2)通过基于swrl的推理引擎对语言知识进行推理。目前,它涵盖英语、法语和阿拉伯语。为了方便与LingOnto的交互,提出了一种本体可视化工具LingGraph。它为不熟悉本体的用户提供了一个易于使用的界面。它提供了一种基于SPARQL模式的方法来实现智能搜索交互功能。LingFramework用于帮助用户识别与lingware应用程序相关的有效语言处理管道。评价结果令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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