ZHAO Ke, DUAN Linling, LI Jielian

Keywords： DIKW Pyramid Model; Knowledge Graph Technology; Smart Urban Planning; Knowledge Representation; Knowledge Computation; Interpretability Reasoning

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’.

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