Manta-Caro Cristyan, Fernández-Luna Juan M
Department of Computer Science and AI, University of Granada, 18014 Granada, Spain.
Sensors (Basel). 2024 May 22;24(11):3302. doi: 10.3390/s24113302.
The revolution of the Internet of Things (IoT) and the Web of Things (WoT) has brought new opportunities and challenges for the information retrieval (IR) field. The exponential number of interconnected physical objects and real-time data acquisition requires new approaches and architectures for IR systems. Research and prototypes can be crucial in designing and developing new systems and refining architectures for IR in the WoT. This paper proposes a unified and holistic approach for IR in the WoT, called IR.WoT. The proposed system contemplates the critical indexing, scoring, and presentation stages applied to some smart cities' use cases and scenarios. Overall, this paper describes the research, architecture, and vision for advancing the field of IR in the WoT and addresses some of the remaining challenges and opportunities in this exciting area. The article also describes the design considerations, cloud implementation, and experimentation based on a simulated collection of synthetic XML documents with technical efficiency measures. The experimentation results show promising outcomes, whereas further studies are required to improve IR.WoT effectiveness, considering the WoT dynamic characteristics and, more importantly, the heterogeneity and divergence of WoT modeling proposals in the IR domain.
物联网（IoT）和物物互联网络（WoT）的变革给信息检索（IR）领域带来了新的机遇与挑战。相互连接的物理对象数量呈指数级增长以及实时数据采集，这就要求信息检索系统采用新的方法和架构。研究与原型对于设计和开发新系统以及完善物物互联网络中的信息检索架构可能至关重要。本文提出了一种用于物物互联网络中信息检索的统一且全面的方法，称为IR.WoT。所提出的系统考虑了应用于一些智慧城市用例和场景的关键索引、评分和呈现阶段。总体而言，本文描述了推进物物互联网络中信息检索领域的研究、架构和愿景，并探讨了这一令人兴奋的领域中一些尚存的挑战与机遇。本文还基于具有技术效率指标的合成XML文档模拟集合，描述了设计考量、云实现和实验。实验结果显示出了有前景的成果，不过考虑到物物互联网络的动态特性，更重要的是考虑到信息检索领域中物物互联网络建模提议的异质性和差异性，仍需要进一步研究以提高IR.WoT的有效性。
