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Authors: Pablo Echavarria and Malek Mouhoub

Affiliation: Department of Computer Science, University of Regina, Regina, Canada

Keyword(s): Constraint Learning, Qualitative Constraint Network, Temporal Reasoning, Preference Reasoning.

Abstract: We present a new web-based platform crafted to represent and learn Qualitative Constraint Networks (QCNs) with preferences, focusing specifically on temporal data. The system uses a learning algorithm that extracts qualitative temporal constraints through user-guided membership queries. The learning process is enhanced with transitive closure (Path Consistency) to infer new relations and reduce the number of queries. Path consistency relies on the Allen’s interval algebra composition table. During the learning phase, the user can add their preferences. The latter will be represented by a conditional preference network (CP-net).

CC BY-NC-ND 4.0

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Paper citation in several formats:
Echavarria, P. and Mouhoub, M. (2024). A Web-Based System for Learning Qualitative Constraint Networks with Preferences. In Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-708-5; ISSN 2184-2841, SciTePress, pages 386-391. DOI: 10.5220/0012811800003758

@conference{simultech24,
author={Pablo Echavarria and Malek Mouhoub},
title={A Web-Based System for Learning Qualitative Constraint Networks with Preferences},
booktitle={Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2024},
pages={386-391},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012811800003758},
isbn={978-989-758-708-5},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - A Web-Based System for Learning Qualitative Constraint Networks with Preferences
SN - 978-989-758-708-5
IS - 2184-2841
AU - Echavarria, P.
AU - Mouhoub, M.
PY - 2024
SP - 386
EP - 391
DO - 10.5220/0012811800003758
PB - SciTePress