A Web-Based System for Learning Qualitative Constraint Networks with Preferences

Pablo Echavarria, Malek Mouhoub

2024

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).

Paper Citation

in Harvard Style

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 - Volume 1: SIMULTECH; ISBN 978-989-758-708-5, SciTePress, pages 386-391. DOI: 10.5220/0012811800003758

in Bibtex Style

@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 - Volume 1: SIMULTECH},
year={2024},
pages={386-391},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012811800003758},
isbn={978-989-758-708-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - A Web-Based System for Learning Qualitative Constraint Networks with Preferences
SN - 978-989-758-708-5
AU - Echavarria P.
AU - Mouhoub M.
PY - 2024
SP - 386
EP - 391
DO - 10.5220/0012811800003758
PB - SciTePress