WoT-PL, Harnessing Large Language Models for IoT Schema Translation: A Conceptual Framework and Preliminary Findings

Scripts, automation and interoperability of Smart Homes are brittle and break for all kinds of reasons.We propose and evaluate the Web of Things Proxy Layer (WoT-PL).This semantic middleware deploys digital twins for devices so that automation can work independently of the physical devices.We use Large Language Models (LLMs) to semantically translate various IoT device data into standardised Web of Things (WoT) Thing Descriptions; this approach unifies previously heterogeneous data structures and proprietary data types.Our experiments suggest that while LLMs seem promising in device data translation, consistent accuracy is challenging to achieve.The proposed WoT-PL framework aims to improve the adaptability and longevity of smart home systems.

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Published
2024-11-19
DOI
https://doi.org/10.1145/3703790.3703833
Primary Topic
Data Quality and Management
Type
article
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article

WoT-PL, Harnessing Large Language Models for IoT Schema Translation: A Conceptual Framework and Preliminary Findings

Torben Weis, Dominic Marcinkowski
Data Quality and Management
article

WoT-PL, Harnessing Large Language Models for IoT Schema Translation: A Conceptual Framework and Preliminary Findings

Torben Weis, Dominic Marcinkowski
article en

Abstract

Scripts, automation and interoperability of Smart Homes are brittle and break for all kinds of reasons.We propose and evaluate the Web of Things Proxy Layer (WoT-PL).This semantic middleware deploys digital twins for devices so that automation can work independently of the physical devices.We use Large Language Models (LLMs) to semantically translate various IoT device data into standardised Web of Things (WoT) Thing Descriptions; this approach unifies previously heterogeneous data structures and proprietary data types.Our experiments suggest that while LLMs seem promising in device data translation, consistent accuracy is challenging to achieve.The proposed WoT-PL framework aims to improve the adaptability and longevity of smart home systems.

University of Duisburg-Essen (DE)
Quality Education
Openalex Percentile: Top 65%
Data Quality and Management
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