ONTODIC

Abstract After analyzing other linguistic ontologies and lexical models with a variety of perspectives, objectives and results, it was found that they were unsuitable for building dictionaries. To help overcome these issues, a model of linguistic knowledge representation was designed. The ONTODIC model presents two major differences with respect to other ontologies. On the one hand, the aim of ONTODIC has been to model language from the premises of linguistics. This means studying the linguistic elements in their natural contexts, that is, the texts. On the other hand, the design of ONTODIC is based on the principles of description logic.

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Publication Details

Journal
Terminology International Journal of Theoretical and Applied Issues in Specialized Communication
Published
2024-10-07
DOI
https://doi.org/10.1075/term.23030.alc
Citations
1
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.35
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article

ONTODIC

Amparo Alcina
1 citations
Terminology International Journal of Theoretical and Applied Issues in Specialized Communication
Semantic Web and Ontologies
0.35
article

ONTODIC

Amparo Alcina
article en
1 citations

Abstract

Abstract After analyzing other linguistic ontologies and lexical models with a variety of perspectives, objectives and results, it was found that they were unsuitable for building dictionaries. To help overcome these issues, a model of linguistic knowledge representation was designed. The ONTODIC model presents two major differences with respect to other ontologies. On the one hand, the aim of ONTODIC has been to model language from the premises of linguistics. This means studying the linguistic elements in their natural contexts, that is, the texts. On the other hand, the design of ONTODIC is based on the principles of description logic.

Terminology International Journal of Theoretical and Applied Issues in Specialized CommunicationVol. 31(2)
Universitat Jaume I (ES), Universidad Politécnica de Madrid (ES)
Quality Education
Openalex Percentile: Top 33%
Semantic Web and Ontologies
0.35
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