AI 中文总结
本文提出一种结合关系型与属性图数据的数据管理服务器，通过引用值替代外键协调两种模型，将其知识模型提供给大语言模型生成工具，还给出基于三元组的知识库示例以验证该系统的可行性。
AI 中文摘要
结合传统数据库中关系数据模型与新型数据产品开发的图模型的数据管理服务器，可将其知识模型提供给大语言模型的生成工具。两种模型在实现层面通过用引用值替代外键实现协调，这提升了性能，且能有效跟踪链接而非执行查找连接。引用值使用日志文件中的记录地址，永远不会改变。本文报告了实现这种融合的进展，并包含一个基于三元组的知识库示例，该示例也将在这类系统中得到支持。
英文摘要
A data management server that combines the relational data model found in traditional databases with the graphical models being developed by newer data products can provide its knowledge model to generative tools for large language models. Both models have been reconciled at the implementation level by replacing foreign keys by reference values. This boosts performance and allows effectively following links instead of lookup joins. The reference value will never change as it uses the record address in the log file. This paper reports on progress in providing such a synthesis and includes an example of a knowledge base that is triple-based and would also be supported in such a system.
Comments7 pages, 4 figures, 4 tables
Journal refIARIA Congress 2026 : The 2026 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications
