OntoTag's linguistic ontologies: improving semantic Web annotations for a better language understanding in machines

de, Guadalupe Aguado; Mon, Inmaculada Alvarez de; Gómez-Pérez, Asuncíon; Pareja-Lora, Antonio

doi:10.1109/itcc.2004.1286605

Cited by 1 publication

(1 citation statement)

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“…It takes a focus only on modeling annotation schemes and their linking with reference categories. Conceptually, the OLiA ontology is closely related to the OntoTag ontologies (de Cea et al, 2004). One important difference is that the OntoTag 1 ontologies are considering only the languages of the Iberian peninsula (in particular Spanish).…”

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%