2025年 第2期 DOI：10.19830/j.upi.2022.561
知识图谱技术支持——DIKW 模型启示下的智慧城市规划方式
Knowledge Graph Technology Support: The Way of Smart Urban Planning Following by the DIKW Pyramid Model
赵珂 段林伶 李洁莲
ZHAO Ke, DUAN Linling, LI Jielian
关键词：DIKW 模型；知识图谱技术；智慧城市规划；知识表示；知识计算；可解释性推理
Keywords：DIKW Pyramid Model; Knowledge Graph Technology; Smart Urban Planning; Knowledge Representation; Knowledge Computation; Interpretability Reasoning
摘要：以大数据、机器学习应用为主的智慧城市规划仅限于描述城市现象和表象问题是什么、怎么样以及“黑箱”式计算，无法揭示方案生成原因（为什么）。受“数据—信息—知识—智慧”金字塔层次DIKW 模型的启示，本文引入知识图谱技术，剖析其中知识表示和知识计算两大核心技术对城市规划智慧生成的原理和决策方式的引导，总结出由“建设基础本体集—建立规划方案推理本体—智慧推演规划方案—智慧决策支持规划调整”构成的全生命周期智慧城市规划的知识图谱技术方法和推进路径，赋予城市规划具有“知道为什么”的智慧决策支持能力。
Abstract：Using big data and machine learning, the Smart Urban Planning (SUP) is limited to describing the “know what” and “know how” of urban appearance problems and the ‘Black box’ calculating, cannot reveal the cause of scheme generation. Point to that, inspired by the DIKW Pyramid Model, this paper introduces the Knowledge Graph（KG）technology, analyzes the generation principle of SUP’s wisdom and the way of wise decision-making based on the Knowledge Representation and Knowledge Computing, which are the core technology of KG, summarizes the method and process of full lifecycle SUP supported by KG, which consists of ‘building basic ontology base, establishing planning scheme reasoning ontology, wise deduction of planning scheme, and wise decision-making support for planning adjustment’, for empowering urban planning with wise decision-making support of ‘know why’.
版权信息：
基金项目：
作者简介：赵珂，重庆大学建筑城规学院，自然资源部国土空间规划监测评估预警重点实验室，教授，博士生导师；中国城市规划学会国外城市规划学术委员会委员。cqjzzk@163.com
段林伶，重庆大学建筑城规学院，硕士研究生。dll@cqu.edu.cn
李洁莲，重庆大学建筑城规学院，博士研究生。765949220@qq.com