Department of Informatics, Systems and Communication, University of Milano-Bicocca, 20126 Milano, Italy.
Sensors (Basel). 2020 Oct 22;20(21):5970. doi: 10.3390/s20215970.
Wearable technologies are transforming research in traditional paradigms of software and knowledge engineering. Among them, expert systems have the opportunity to deal with knowledge bases dynamically varying according to real-time data collected by position sensors, movement sensors, etc. However, it is necessary to design and implement opportune architectural solutions to avoid expert systems are responsible for data acquisition and representation. These solutions should be able to collect and store data according to expert systems desiderata, building a homogeneous framework where data reliability and interoperability among data acquisition, data representation and data use levels are guaranteed. To this aim, the wearable environment notion has been introduced to treat all those information sources as components of a larger platform; a middleware has been designed and implemented, namely WEAR-IT, which allows considering each sensor as a source of information that can be dynamically tied to an expert system application running on a smartphone. As an application example, the mHealth domain is considered.
可穿戴技术正在改变传统软件和知识工程范式中的研究。其中，专家系统有机会根据位置传感器、运动传感器等实时采集的数据动态处理知识库。然而，有必要设计和实施适当的架构解决方案，以避免专家系统负责数据采集和表示。这些解决方案应该能够根据专家系统的要求收集和存储数据，构建一个同质的框架，其中保证数据采集、数据表示和数据使用级别的数据可靠性和互操作性。为此，引入了可穿戴环境的概念，将所有这些信息源视为一个更大平台的组件；设计并实现了一个中间件，即 WEAR-IT，它允许将每个传感器视为可以动态绑定到智能手机上运行的专家系统应用程序的信息源。作为一个应用实例，考虑了移动健康领域。
