An Orchestration Framework for Linguistic Task Ontologies

Chavula, Catherine and Keet, C. Maria (2015) An Orchestration Framework for Linguistic Task Ontologies, Proceedings of 9th Metadata and Semantics Research Conference (MTSR'15), 9-11 September, 2015, Manchester, UK, 544, 3-14, Springer CCIS.

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Ontologies provide knowledge representation formalism for expressing linguistic knowledge for computational tasks. However, natural language is complex and fluid, 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. We present 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 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.

Item Type: Conference paper
Uncontrolled Keywords: ontologies, ontology engineering, linguistics, noun class system
Subjects: Computing methodologies > Artificial intelligence
Information systems
Alternate Locations:,
Date Deposited: 19 Sep 2015
Last Modified: 10 Oct 2019 15:32

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