Faculty Publications


An approach for ontology development and assessment using a quality framework. Knowledge

SelectedWorks Author Profiles:

Han Reichgelt

Document Type


Publication Date


Date Issued

January 2009

Date Available

July 2014




Ontologies have been identified as important components of a number of types of information systems, including data warehouses, e-commerce systems and knowledge management systems, and the quality of such systems is therefore likely to be heavily dependent on the quality of the embedded ontology. An ontology can be studied from two perspectives; the Artificial Intelligence (AI) perspective and the philosophical perspective. The research presented in this paper takes the AI perspective in which an ontology is considered to be an engineering artefact that can be represented using a specific vocabulary. The paper describes an approach to the development, representation and evaluation of formal ontologies with the explicit aim being to develop a set of techniques that will improve the coverage of the ontology, and thus its overall quality. The proposed approach will be illustrated by applying it to the development and evaluation of an ontology for the information technology infrastructure at a university campus.


Citation only. Full-text article is available through licensed access provided by the publisher. Published in Knowledge Management Research & Practice, 7(3), 260-276. doi:10.1057/kmrp.2009.12. Members of the USF System may access the full-text of the article through the authenticated link provided.




Palgrave Macmillan Ltd.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.