@misc{10481/93637,
year = {2024},
month = {5},
url = {https://hdl.handle.net/10481/93637},
abstract = {The revolution of the Internet of Things (IoT) and theWeb 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 theWoT, 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 theWoT 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
theWoT dynamic characteristics and, more importantly, the heterogeneity and divergence of
WoT modeling proposals in the IR domain.},
publisher = {MDPI},
keywords = {Web of Things (WoT)},
keywords = {Internet of Things (IoT)},
keywords = {information retrieval},
title = {IR.WoT: An Architecture and Vision for a Unified Web of Things Search Engine},
doi = {10.3390/s24113302},
author = {Manta-Caro and Fernández Luna, Juan Manuel},
}