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Comparative Research on the Characteristics of Graph Database-driven Knowledge Management Applications: Taking Roam Research as an Example
Wang Shuyi, Zhang Jin, Li Jun
Knowledge Management Forum ›› 2021, Vol. 6 ›› Issue (5) : 292-301.
PDF(1546 KB)
PDF(1546 KB)
Comparative Research on the Characteristics of Graph Database-driven Knowledge Management Applications: Taking Roam Research as an Example
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[Purpose/significance] This paper analyzes the characteristics of a new knowledge management tool driven by graph databases for researchers and users in the knowledge management community. This will improve and enhance the exchange of knowledge and improve the efficiency of knowledge. [Method/process] This paper compared the problems encountered in traditional knowledge management tools and showed beneficial features of knowledge management applications driven by graph database in a comparative manner by taking Roam Research as an example. By combing the literature, we compared other forms of knowledge collaboration and looked forward to the new opportunities that this new application brought to knowledge communities. [Result/conclusion] Through comparative analysis and case research, this paper concludes that features of Roam Research such as fine grit, bidirectional link, visual graphs, open interfaces and Ad hoc structures will significantly enhance the range of capabilities of knowledge management tools, and moreover, provide a basis for collaboration in large-scale nonlinear knowledge communities and rapid production of knowledge. The development of technology and the transformation of the way of thinking in the information overload environment deserve enough attention and tracking by researchers in the fields of knowledge management, knowledge communities and knowledge production.
Roam Research / knowledge communities / knowledge management
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