An Orchestration Framework for Linguistic Task Ontologies
Chavula, Catherine and C. Maria Keet (2015) An Orchestration Framework for Linguistic Task Ontologies. In Garoufallou, E, RJ Hartley and P Gaitanou, Eds. Proceedings 9th Metadata and Semantics Research Conference (MTSR'15) 544, pages 3-14, Manchester, UK.
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.
|EPrint Type:||Conference Paper|
|Keywords:||ontologies, ontology engineering, linguistics, noun class system|
|Subjects:||I Computing Methodologies: I.2 ARTIFICIAL INTELLIGENCE|
H Information Systems: H.1 MODELS AND PRINCIPLES
|Deposited By:||Keet, C. Maria|
|Deposited On:||19 September 2015|
|Alternative Locations:||http://www.springer.com/us/book/9783319241289, http://www.meteck.org/files/MTSR15LingtaskOnto.pdf|