Building Information Models (BIMs) and City Information Models (CIMs) have flourished in building and urban studies independently over the past decade. Semantic enrichment is an indispensable process that adds new semantics such as geometric, non-geometric, and topological information into existing BIMs or CIMs to enable multidisciplinary applications in fields such as construction management, geoinformatics, and urban planning. These two paths are now coming to a juncture for integration and juxtaposition. However, a critical review of the semantic enrichment of BIM and CIM is missing in the literature. This research aims to probe into semantic enrichment by comparing its similarities and differences between BIM and CIM over a ten-year time span. The research methods include establishing a uniform conceptual model, and sourcing and analyzing 44 pertinent cases in the literature. The findings plot the terminologies, methods, scopes, and trends for the semantic enrichment approaches in the two domains. With the increasing availability of data sources, algorithms, and computing power, they cross the border to enter each other’s domain. Future research will likely gain new momentums from the demands of value-added applications, development of remote sensing devices, intelligent data processing algorithms, interoperability between BIM and CIM software platforms, and emerging technologies such as big data analytics.

在过去的十年中，建筑信息模型（BIM）和城市信息模型（CIM）在建筑和城市研究中蓬勃发展。语义丰富化是必不可少的过程，它会向现有的BIM或CIM中添加诸如几何，非几何和拓扑信息之类的新语义，以实现在建筑管理，地理信息学和城市规划等领域的多学科应用。这两个路径现在正处于整合和并置的关键时刻。但是，文献中缺少对BIM和CIM的语义丰富性的批判性评论。这项研究旨在通过比较BIM和CIM在十年时间跨度中的异同来探索语义丰富。研究方法包括建立统一的概念模型，并寻找和分析文献中的44个相关案例。研究结果描绘了这两个领域中的语义丰富方法的术语，方法，范围和趋势。随着数据源，算法和计算能力的可用性不断提高，它们越过边界进入彼此的域。未来的研究可能会从增值应用程序的需求，遥感设备的开发，智能数据处理算法，BIM和CIM软件平台之间的互操作性以及新兴技术（例如大数据分析）中获得新的动力。他们越过边界进入彼此的领域。未来的研究可能会从增值应用程序的需求，遥感设备的开发，智能数据处理算法，BIM和CIM软件平台之间的互操作性以及新兴技术（例如大数据分析）中获得新的动力。他们越过边界进入彼此的领域。未来的研究可能会从增值应用程序的需求，遥感设备的开发，智能数据处理算法，BIM和CIM软件平台之间的互操作性以及新兴技术（例如大数据分析）中获得新的动力。