An Interactive Analysis Framework for Multivariate Heterogeneous Graph Data Management System
Zihao Zhao1,2,Zhihong Shen1()
1Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China 2University of Chinese Academy of Sciences, Beijing 100049, China
[Objective] An open and scalable interactive analysis framework is proposed to shield the differences between multivariate graph data models, management systems, interfaces and protocols, and supply the online interactive analyzing service faced with graph data. [Methods] By abstracting the multi-analysis requirements and heterogeneous service interfaces, an open, scalable and interactive protocol is designed. Based on the protocol, an interactive framework is designed to implement the interactive module. [Results] This interactive analysis framework is well abstracted, shields the heterogeneity of graph management systems like Neo4j and Jena effectively, and provides a good foundation for front-end applications. [Limitations] Need to be optimized and adjusted on large-scale data. [Conclusions] The interactive analysis framework of heterogeneous knowledge graph has practical significance and deserves promotion.
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