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MINiDM: multi-issue negotiation in decentralised data marketplaces

MINiDM: multi-issue negotiation in decentralised data marketplaces
MINiDM: multi-issue negotiation in decentralised data marketplaces
This paper presents MINiDM, a novel negotiation framework designed for decentralised data marketplaces. MINiDM enables AI-driven agents to negotiate complex, multi-issue data-sharing agreements while ensuring compliance with legal and ethical standards such as GDPR. The framework combines game-theoretic strategies, formal policy languages and vocabularies (ODRL and DPV), and a lightweight multi-agent commitment protocol to automate fair transactions without relying on central authorities or blockchain- based contracts. Experimental results demonstrate that MINiDM outperforms existing protocols in terms of agreement rate, fairness, and negotiation efficiency, offering a promising direction for secure and autonomous data trading in Web3 ecosystems.
Gheisari, Soulmaz
ec5925da-f424-4f49-8b72-d4d045ee7ba6
Salas, Jaime Osvaldo
ecf80f84-a5c6-4f40-a1cc-4ef6047c8563
Yumusak, Semih
5a45f53d-7a3c-4e3d-93b1-bc83f7096f37
Konstantinidis, George
f174fb99-8434-4485-a7e4-bee0fef39b42
Gheisari, Soulmaz
ec5925da-f424-4f49-8b72-d4d045ee7ba6
Salas, Jaime Osvaldo
ecf80f84-a5c6-4f40-a1cc-4ef6047c8563
Yumusak, Semih
5a45f53d-7a3c-4e3d-93b1-bc83f7096f37
Konstantinidis, George
f174fb99-8434-4485-a7e4-bee0fef39b42

Gheisari, Soulmaz, Salas, Jaime Osvaldo, Yumusak, Semih and Konstantinidis, George (2025) MINiDM: multi-issue negotiation in decentralised data marketplaces. 51st International Conference on Very Large Data Bases (VLDB), , London, United Kingdom. 01 - 05 Sep 2025.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents MINiDM, a novel negotiation framework designed for decentralised data marketplaces. MINiDM enables AI-driven agents to negotiate complex, multi-issue data-sharing agreements while ensuring compliance with legal and ethical standards such as GDPR. The framework combines game-theoretic strategies, formal policy languages and vocabularies (ODRL and DPV), and a lightweight multi-agent commitment protocol to automate fair transactions without relying on central authorities or blockchain- based contracts. Experimental results demonstrate that MINiDM outperforms existing protocols in terms of agreement rate, fairness, and negotiation efficiency, offering a promising direction for secure and autonomous data trading in Web3 ecosystems.

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More information

Published date: 2025
Venue - Dates: 51st International Conference on Very Large Data Bases (VLDB), , London, United Kingdom, 2025-09-01 - 2025-09-05

Identifiers

Local EPrints ID: 508359
URI: http://eprints.soton.ac.uk/id/eprint/508359
PURE UUID: 38dd1e04-4323-4de4-8c8b-490e74ec2558
ORCID for Soulmaz Gheisari: ORCID iD orcid.org/0000-0001-8974-2841
ORCID for Jaime Osvaldo Salas: ORCID iD orcid.org/0000-0002-9353-8955

Catalogue record

Date deposited: 20 Jan 2026 17:36
Last modified: 21 Jan 2026 03:07

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Contributors

Author: Soulmaz Gheisari ORCID iD
Author: Jaime Osvaldo Salas ORCID iD
Author: Semih Yumusak
Author: George Konstantinidis

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