A forgetting-based approach to merging knowledge bases

This paper presents a novel approach based on variable forgetting, which is a useful tool in resolving contradictory by filtering some given variables, to merging multiple knowledge bases. This paper first builds a relationship between belief merging and variable forgetting by using dilation. Variab...

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Bibliographic Details
Main Authors: Dai Xu, Xiaowang Zhang, Zuoquan Lin
Format: Conference Proceeding
Language:English
Subjects:
belief merging
dilation
inconsistency handling
knowledge base
variable forgetting
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Summary:This paper presents a novel approach based on variable forgetting, which is a useful tool in resolving contradictory by filtering some given variables, to merging multiple knowledge bases. This paper first builds a relationship between belief merging and variable forgetting by using dilation. Variable forgetting is applied to capture belief merging operation. Finally, some new merging operators are developed by modifying candidate variables to amend the shortage of traditional merging operators. Different from model selection of traditional merging operators, as an alternative approach, variable selection in those new operators could provide intuitive information about an atom variable among whole knowledge bases.
DOI:10.1109/PIC.2010.5687440