一种适合多元异构图数据管理系统的交互分析框架

An Interactive Analysis Framework for Multivariate Heterogeneous Graph Data Management System

【目的】提出一套交互分析框架,以屏蔽多元图数据模型、管理系统、查询接口协议的差异性,提供面向图数据的在线交互分析服务。【方法】对图数据管理系统的服务接口和前端分析需求进行抽象,设计形成开放可扩展的交互协议和总体框架,并实现数据适配、交互分析应用等软件模块。【结果】该框架有效屏蔽了Neo4j、Jena等系统的异构性,并满足图数据浏览、探索以及路径发现等交互分析需求,为图数据的相关应用提供了良好的基础。【局限】需要针对大规模数据进行优化和完善。【结论】本框架可有效实现图数据管理系统与分析应用的接口解耦,具有较大的应用价值。

[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.