OWL-S Grounding Parameters Matching by Means of LLM: Preliminary Investigation

Domenico Redavid, Eleonora Bernasconi, Stefano Ferilli

2025

Abstract

SOA architecture was created to systematise issues relating to the interoperability of M2M services, focusing on issues such as security and privacy. With the advent of generative AI, there is a different way to perform the operations for which Semantic Web Services were created, in a much simpler way, but losing control over the level of security and privacy. In this paper, we seek to propose a combined vision of the two approaches, identifying how generative AI can be used to solve specific, rather than general, problems. To this end, we attempt to analyse how an LLM could be used by a software agent to align different types of XML parameter data in WSDL descriptions.

Paper Citation

in Harvard Style

Redavid D., Bernasconi E. and Ferilli S. (2025). OWL-S Grounding Parameters Matching by Means of LLM: Preliminary Investigation. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-769-6, SciTePress, pages 192-199. DOI: 10.5220/0013854200004000

in Bibtex Style

@conference{keod25,
author={Domenico Redavid and Eleonora Bernasconi and Stefano Ferilli},
title={OWL-S Grounding Parameters Matching by Means of LLM: Preliminary Investigation},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2025},
pages={192-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013854200004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - OWL-S Grounding Parameters Matching by Means of LLM: Preliminary Investigation
SN - 978-989-758-769-6
AU - Redavid D.
AU - Bernasconi E.
AU - Ferilli S.
PY - 2025
SP - 192
EP - 199
DO - 10.5220/0013854200004000
PB - SciTePress