Contributions to Personalizable Knowledge Integration
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Abstract
Inconsistency and partial information is the norm in knowledge bases used in many real world ap-plications that support, among other things, human decision making processes. In this work we argue that the management of this kind of data needs to be context-sensitive, creating a synergy with the user to build useful, flexible data management systems
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