基于知识图谱的协议转换方法研究
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国家重点研发计划项目(2019YFB2102500)

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Research of Protocol Conversion Based on Knowledge Graph
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National Key Rearch and Development Program of China (2019YFB2102500)

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    摘要:

    互联网+政务大数据具有跨领域、多协议、难融合的特点。在大数据采集汇聚过程中,存在多种协议转换的需求,要求网关能够实现统一协议适配转换,为多源异构数据汇聚和数据融合提供数据支撑。传统的协议转换方法通常针对特定的协议转换需求设计的,可扩展性较差,不适用于多种协议转换。该文拟通过研究分析协议报文结构及协议转换特点,提出一种协议转换知识图谱的构建方法。通过构建图谱的模式层以及数据层,建立含有协议报文结构和报文字段映射关系的协议转换知识图谱。并在此基础上提出一种基于知识图谱的协议转换方法,以实现不同协议之间的报文转换。同时,通过协议转换应用实例以及与已有协议转换方法的对比实验,验证了该方法的有效性。

    Abstract:

    Internet+government affairs big data has the characteristics of cross-domain, multi-protocol and difficult convergence. In the process of big data collection and aggregation, there is a need for a variety of protocol conversions, which require a gateway to realize a unified protocol adaptation conversion and provide the data support for multi-source heterogeneous data aggregation and data fusion. Traditional protocol conversion methods are usually designed for specific protocol conversion requirements, and their scalability is poor, so they are not suitable for the situation where there are multiple protocol conversion requirements. By studying and analyzing the structure of protocol messages and the characteristics of protocol conversion, this paper proposes a method to construct the knowledge graph of the protocol conversion. By constructing the schema layer and instance layer of the graph, a knowledge graph of protocol conversion containing the structure of protocol messages and the mapping relationship between message fields is established. On this basis, a protocol conversion method based on the knowledge graph is proposed to realize the packet conversion between different protocols. The effectiveness of the proposed method is verified by an application example of protocol conversion and a comparison experiment with the existing protocol conversion methods.

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引文格式
林映利,李红辉,张春,等.基于知识图谱的协议转换方法研究 [J].集成技术,2023,12(1):26-41

Citing format
LIN Yingli, LI Honghui, ZHANG Chun, et al. Research of Protocol Conversion Based on Knowledge Graph[J]. Journal of Integration Technology,2023,12(1):26-41

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  • 在线发布日期: 2023-01-12
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