Focus on indoor spatial applications has been rising with the growing interest in indoor spaces. Along with the widespread use of mobile devices and the internet, it has increased demands for indoor location-based services (LBS), demanding more efficient representation and management of indoor spatial data. Indoor points of interest (Indoor POI) data, representing both spaces and facilities located indoors, provide the infrastructure for these services. These datasets are vital in delivering timely and accurate information to users, such as in cases of managing indoor facilities. However, even though there are studies that explore its use across applications and efforts exerted towards the standardization of the data model, most POI development studies have focused on the outdoors and remain underdeveloped in the indoors. In this paper, we propose a spatial-temporal Indoor POI data model to provide direction for the establishment of indoor POI data and to address limitations in currently available data specifications. By exploring how different Indoor POIs are from its outdoor counterparts, particularly on extending its outdoor counterparts’ functions on searching, sharing, and labeling, we describe the data model and its components using the Unified Modeling Language (UML). We perform an SQL-based query experiment to demonstrate the potential use of the data model using sample data.

中文翻译：

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开发室内兴趣点的数据模型以支持基于位置的服务

随着人们对室内空间的兴趣日益浓厚，对室内空间应用的关注也日益提高。随着移动设备和互联网的广泛使用，它对室内基于位置的服务（LBS）的需求不断增加，要求更有效地表示和管理室内空间数据。室内兴趣点（Indoor POI）数据（代表位于室内的空间和设施）为这些服务提供了基础架构。这些数据集对于向用户提供及时准确的信息至关重要，例如在管理室内设施的情况下。但是，即使有研究探索其在各种应用程序中的使用以及为实现数据模型的标准化所做的努力，但大多数POI开发研究都集中在室外，而在室内仍处于欠发达状态。在本文中，我们提出了一个时空室内POI数据模型，以提供建立室内POI数据的方向并解决当前可用数据规范中的局限性。通过探索室内POI与室外POI的不同之处，特别是在扩展室外POI的搜索，共享和标签功能方面，我们使用统一建模语言（UML）描述了数据模型及其组件。我们执行基于SQL的查询实验，以使用样本数据演示数据模型的潜在用途。特别是在扩展户外伙伴在搜索，共享和标签上的功能时，我们使用统一建模语言（UML）描述了数据模型及其组件。我们执行基于SQL的查询实验，以使用样本数据演示数据模型的潜在用途。特别是在扩展户外伙伴在搜索，共享和标签上的功能时，我们使用统一建模语言（UML）描述了数据模型及其组件。我们执行基于SQL的查询实验，以使用样本数据演示数据模型的潜在用途。