城市知识体系

智能城市的建设已经从过往的以业务为中心进入了以数据为中心的阶段。随着数据的不断积累以及智能算法的发展，智能城市的应用也开始从简单直接地使用数据向挖掘数据蕴含的知识来解决问题演进。类比以数据为中心的智能城市建设阶段需要城市数据管理体系，以实现数据的有效归集、管理和复用；在未来以知识为中心的时代，人们也需要建立相应的城市知识体系，以确保知识的有效组织、沉淀和复用。首次提出了智能城市知识体系，包括城市知识的内容定义、知识的表达形式、知识的产生和知识的应用四部分以及各部分中的规范和方法。城市知识体系可帮助从业者快速掌握行业知识、有效组织知识、高效构建以知识为中心的智能城市应用，发挥知识的价值，并让不同应用产生的知识不断沉淀、复用和融合，让智能城市可以更快、更好的发展。

The Knowledge System for Intelligent Cities

Data has been playing an increasingly important role in building intelligent cities in the last decade. Recently, the advances in artificial technology has boosted a rising trend of using knowledge mined from data rather than raw data to tackle urban challenges. Just like designing data management frameworks for intelligent cities in the last decade, we need to define the knowledge management framework for the coming new era, in order for that knowledge generated by different applications can be constantly accumulated and consistently shared between each other. Otherwise, new knowledge islands will be created while we are spending a lot of efforts to break down data islands. To address this issue, we propose the knowledge system, consisting of the definition of the content of knowledge in intelligent cities and the framework of knowledge representation, generation and application. The knowledge system can help professionals to acquire domain knowledge quickly, mine knowledge from data efficiently, apply knowledge to solve problems effectively, and share knowledge between each other consistently, thus leading to smarter and greener cities.