Approaches to Constructing a Stratified Merged Knowledge Base

Many merging operators have been proposed to merge either flat or stratified knowledge bases. The result of merging by such an operator is a flat base (or a set of models of the merged base) irrespective of whether the original ones are flat or stratified. The drawback of obtaining a flat merged base is that information about more preferred knowledge (formulae) versus less preferred knowledge is not explicitly represented, and this information can be very useful when deciding which formulae should be retained when there is a conflict. Therefore, it can be more desirable to return a stratified knowledge base as a merged result. A straightforward approach is to deploy the preference relation over possible worlds obtained after merging to reconstruct such a base. However, our study shows that such an approach can produce a poor result, that is, preference relations over possible worlds obtained after merging are not suitable for reconstructing a merged stratified base. Inspired by the Con...

• Type: Conference
• Year: 2007
• Where: ECSQARU
• Authors: Anbu Yue, Weiru Liu, Anthony Hunter
• Keywords: Automated Reasoning, ECSQARU 2007, Knowledge Bases, Merged Knowledge Base, Stratified Knowledge Base