Developing a GP-Based Framework for Knowledge Integration

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Provided by: AICIT
Topic: Big Data
Format: PDF
Knowledge integration is one of the important tasks for applying knowledge management in an organization to improve organizational performance and competitive competence. In this paper, the authors have proposed a GP-based knowledge-integration framework that automatically combines multiple rule sets into one integrated knowledge base. The proposed framework consists of three phases: knowledge collection and translation, knowledge integration, and knowledge output. In the collection and translation phase, each knowledge source is obtained and expressed as a rule set and then translated as a classification tree.
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