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.
Authors
- Torben Weis (ORCID: https://orcid.org/0000-0001-6594-326X)
- Dominic Marcinkowski
Institutions
- University of Duisburg-Essen (DE)
Publication Details
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1145/3703790.3703833
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00