Use this URL to cite or link to this record in EThOS:
Title: Heraclitus II : a framework for ontology management and evolution
Author: Alexander, Mikroyannidis
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2007
Availability of Full Text:
Access from EThOS:
The amount of heterogeneous data that is available to organizations nowadays has made information management a seriously complicated task, yet crucial since this data can be a valuable asset in the process of business intelligence. Ontologies can act as a semantically rich knowledge base in systems that specialize in information management. However, the approaches adopted in these systems regarding ontology management are in most cases simplistic. Ontology layering or integration is rarely used and the dynamic aspect of ontologies, which requires appropriate evolution mechanisms, is often neglected. Overall, the potential of ontologies in information management and business intelligence has yet to be fully realized and put to practical use. The present work introduces Heraclitus II, a framework for ontology management and evolution in the context of information management systems. Heraclitus II proposes a multi-layer architecture for the efficient management of ontologies by diverse groups of human authors. Each layer contains ontologies that are customized for particular uses within an information management system. The ontologies are integrated via ontology mapping techniques and evolve through the Heraclitus II evolution process. The proposed evolution process is bitemporal, thus enhancing the temporal semantics of the evolved ontologies. The structural and semantic consistency of the ontologies is preserved and changes are propagated transparently within the multi-layer architecture so that the latter evolves as a whole. A real-life case study has been used to demonstrate and evaluate the capabilities of the framework. The case study application indicated that Heraclitus II could increase collaboration between the involved parties in ontology construction and maintenance, as well as facilitate the business intelligence process through ontology evolution. In addition, organizational deployment of the framework can offer new products and services, and subsequently lead to an increase in the customer base of the organization.
Supervisor: Theodoulidis, Babis Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available