Air Institute, IoT Digital Innovation Hub (Spain), Carbajosa de la Sagrada, 37188 Salamanca, Spain.
Grupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, Instituto de Investigación Biomédica de Salamanca, Universidad de Salamanca, Calle Espejo 2, 24.2, 37007 Salamanca, Spain.
Sensors (Basel). 2023 Jan 14;23(2):982. doi: 10.3390/s23020982.
The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today's devices can connect to the internet and can provide valuable information for decision making. However, the data collected by different devices are in different formats, which makes it necessary to develop a solution that integrates comprehensive semantic tools to represent, integrate and acquire knowledge, which is a major challenge for IoT environments. The proposed solution addresses this challenge by using IoT semantic data to reason about actionable knowledge, combining next-generation semantic technologies and artificial intelligence through a set of cognitive components that enables easy interoperability and integration for both legacy systems and emerging technologies, such as IoT, to generate business value in terms of faster analytics and improved decision making. Thus, combining IoT environments with cognitive artificial intelligence services, COSIBAS builds an abstraction layer between existing platforms for IoT and AI technologies to enable cognitive solutions and increase interoperability across multiple domains. The resulting low-cost cross platform supports scalability and the evolution of large-scale heterogeneous systems and allows the modernization of legacy infrastructures with cognitive tools and communication mechanisms while reusing assets.
物联网 (IoT) 引发的革命彻底改变了世界；无数具有远程感测、致动、分析和共享功能的物体通过异构通信网络相互连接。因此，今天所有的设备都可以连接到互联网，并可以为决策提供有价值的信息。然而，不同设备收集的数据采用不同的格式，这就需要开发一种解决方案，该解决方案集成了全面的语义工具来表示、集成和获取知识，这是物联网环境面临的主要挑战。所提出的解决方案通过使用物联网语义数据来推理可操作的知识来应对这一挑战，通过一组认知组件结合下一代语义技术和人工智能，实现了遗留系统和新兴技术（如物联网）之间的轻松互操作性和集成，从而在更快的分析和改进决策方面产生业务价值。因此，将物联网环境与认知人工智能服务相结合，COSIBA 在现有的物联网和 AI 技术平台之间构建了一个抽象层，以实现认知解决方案并提高多个领域的互操作性。由此产生的低成本跨平台支持大规模异构系统的可扩展性和演进，并允许使用认知工具和通信机制对遗留基础设施进行现代化改造，同时重用资产。
