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Follow a guide to solve urban problems: the creation and application of urban knowledge graph

机译:遵循解决城市问题的指南:城市知识图的创建和应用

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It is a hot research topic today to find out the potential knowledge from the scattered urban data and take advantage of the relationship between the knowledge to solve the challenges of urban governance and smart city construction. The urban knowledge graph is an effective way to establish the relationship between the knowledge and address the urban issues. This study proposes the methodology to create an urban knowledge graph and its framework. It elaborates the approaches of urban knowledge acquisition, reasoning and expression. Furthermore, a hybrid reasoning algorithm known as EG is given based on expectation-maximisation algorithm and Gibbs algorithm, which has the complementary advantages of the both methods. Through a study case, this study illustrates constructing and working process of an urban knowledge graph. The case shows that the urban knowledge graph has a good application prospect.
机译:今天,从分散的城市数据中找出潜在的知识,并利用这些知识之间的关系来解决城市治理和智慧城市建设的挑战,已成为一个热门研究课题。城市知识图是建立知识之间的关系并解决城市问题的有效方法。这项研究提出了创建城市知识图的方法论及其框架。它阐述了城市知识获取,推理和表达的方法。此外,基于期望最大化算法和吉布斯算法给出了一种混合推理算法,称为EG,具有两种方法的互补优势。通过研究案例,该研究说明了城市知识图的构建和工作过程。实例表明,城市知识图具有良好的应用前景。

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