Inconsistency Handling in Collaborative Knowledge Management

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Big Data
Format: PDF
One of the challenges of knowledge management is handling inconsistency. Traditionally, it was often perceived as indication of invalid data or behavior and as such should be avoided or eliminated. However, there are also numerous situations where inconsistency is a natural phenomena or carry useful information. In order to decide how to manage inconsistent knowledge, it is thus important to recognize its origin, aspect and influence on the behavior of the system. In this paper, the authors analyze a case of collaborative knowledge management with hybrid knowledge representation.
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