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Terminology: Online-First ArticlesONTODIC
A model of linguistic knowledge representation based on description logic
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.
Keywords: dictionary, language resources, knowledge base, ontology, lexical model, terminology modelling, terminology representation, ONTODIC
Article outline
- 1.Introduction
- 2.The shortcomings of linguistic ontologies and lexical models
- 3.Logic-based knowledge models
- 3.1Ontological knowledge representation based on description logic
- 4.Systematic analysis of the concepts of industrial ceramics
- 4.1Implementation in the protégé ontology editor
- 4.2Reasoning and inferences in ontology
- Case A. Inheritance of characteristics
- Case B. Automatic classification of concepts
- 5.A linguistic model based on logic
- 5.1Logic components of the ONTODIC model
- 5.1.1The assertional component: Linguistic elements and their relationships
- 5.1.2Terminological component: Linguistic conceptualization
- 5.1.3Linguistic elements as instances of linguistic concepts
- 5.2Implementation of ceramic terms in the ONTODIC linguistic model
- 5.2.1Implementation of linguistic concepts
- 5.2.2Implementation of terms
- 5.3Principal characteristics and advantages of the ONTODIC model
- 5.1Logic components of the ONTODIC model
- 6.Conclusions
- Notes
-
References
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