Graph Databases for Knowledge Management
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IT Professional 19 (6): 26--32 (November 2017)

Emerging technologies let companies manage their knowledge assets with more innovative and effective methods. Due to the complex nature of knowledge management processes, it is cumbersome to design, develop, and implement a system based on relational databases. This article proposes a specific graph database application in streamlining major knowledge management processes. The author develops a property graph data model to facilitate the process model of knowledge management. In addition, this property graph data model is implemented through the Neo4j graph database system. This research provides some guidance for practitioners in seeking alternative approaches to traditional methods of knowledge management.
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