Automated merging of conflicting knowledge bases, using a consistent, majority-rule approach with knowledge-form maintenance

Automated merging of conflicting knowledge bases, using a consistent, majority-rule approach with knowledge-form maintenance

0.00 Avg rating0 Votes
Article ID: iaor2006703
Country: United Kingdom
Volume: 32
Issue: 7
Start Page Number: 1809
End Page Number: 1829
Publication Date: Jul 2005
Journal: Computers and Operations Research
Authors: , ,
Keywords: artificial intelligence: expert systems
Abstract:

This paper discusses an automated process of merging conflicting information from disparate sources into a combined knowledge base. The algorithm provided generates a mathematically consistent, majority-rule merging by assigning weights to the various sources. The sources may be either conflicting portions of a single knowledge base or multiple knowledge bases. Particular attention is paid to maintaining the original rule format of the knowledge, while ensuring logical equivalence. This preservation of rule format keeps the knowledge in a more intuitive implication form as opposed to a collection of clauses with many possible logical roots. It also facilitates tracking using the support for each deductive result so that final knowledge in rule form can be ascribed back to original experts. As the approach is fairly involved mathematically, an automated procedure is developed.

Reviews

Required fields are marked *. Your email address will not be published.