Bridging Ontology Evolution and Belief Change
One of the crucial tasks towards the realization of the Semantic Web vision is the efficient encoding of human knowledge in ontologies. The proper maintenance of these, usually large, structures and, in particular, their adaptation to new knowledge (ontology evolution) is one of the most challenging problems in current Semantic Web research. In this paper, we uncover a certain gap in current ontology evolution approaches and propose a novel research path based on belief change. We present some ideas in this direction and argue that our approach introduces an interesting new dimension to the problem that is likely to find important applications in the future.
KeywordsBelief Revision Belief Change Ontology Evolution Coherence Model Informal Justification
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- 2.Flouris, G., Plexousakis, D.: Handling Ontology Change: Survey and Proposal for a Future Research Direction. Technical Report FORTH-ICS/TR-362 (2005)Google Scholar
- 3.Flouris, G., Plexousakis, D., Antoniou, G.: On Applying the AGM theory to DLs and OWL. In: Proceedings of the 4th International Semantic Web Conference, pp. 216–231 (2005)Google Scholar
- 6.Haase, P., Sure, Y.: D3.1.1.b State of the Art on Ontology Evolution (2004), web page: http://www.aifb.uni-karlsruhe.de/WBS/ysu/publications/SEKT-D3.1.1.b.pdf
- 7.Hansson, S.O.: A Survey of Non-prioritized Belief Revision. Erkenntnis 50 (1999)Google Scholar
- 8.Katsuno, H., Mendelzon, A.O.: On the Difference Between Updating a Knowledge Base and Revising It. Technical Report on Knowledge Representation and Reasoning, University of Toronto, Canada, KRR-TR-90-6 (1990)Google Scholar