An Orchestration Framework for Linguistic Task Ontologies

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.

• Type: Journal
• Year: 2015
• Where: MTSR
• Authors: Catherine Chavula, C. Maria Keet
• Keywords: Information Technology, MTSR 2015