Abstract
Ontologies provide knowledge representation formalism for expressing linguistic knowledge for computational tasks. However, natural language is complex and flexible, demanding fine-grained ontologies tailored to facilitate solving specific problems. Moreover, extant linguistic ontological resources ignore mechanisms for systematic modularisation to ensure semantic interoperability with task ontologies. This paper presents an orchestration framework to organise and control the inheritance of ontological elements in the development of linguistic task ontologies. The framework is illustrated in the design of new task ontologies for the Bantu noun classification system. Specific use is demonstrated with annotation of lexical items connected to ontology elements terms and with the classification of nouns in the ABox into noun classes.
Keywords
- Domain Ontology
- Linguistic Knowledge
- Ontology Engineering
- Natural Language Generation
- Linguistic Property
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Chavula, C., Maria Keet, C. (2015). An Orchestration Framework for Linguistic Task Ontologies. In: Garoufallou, E., Hartley, R., Gaitanou, P. (eds) Metadata and Semantics Research. MTSR 2015. Communications in Computer and Information Science, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-24129-6_1
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DOI: https://doi.org/10.1007/978-3-319-24129-6_1
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