EXPLOITATION OF ONTOLOGY-BASED RECOMMENDATION SYSTEM WITH MULTI-AGENT SIMULATIONS

Martina Husáková, Pavel Čech

2011

Abstract

The paper investigates the usage of ontology engineering-based techniques for recommendation system development. The potential of ontology containing SWRL rules is studied with relation to the generation of scenarios (recommendations). These scenarios are the basis for the creation of multi-agent models and simulations. The multi-agent systems offer dynamic view on implications of recommendations that are suggested by the ontology-based recommendation system.

Paper Citation

in Harvard Style

Husáková M. and Čech P. (2011). EXPLOITATION OF ONTOLOGY-BASED RECOMMENDATION SYSTEM WITH MULTI-AGENT SIMULATIONS . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 433-436. DOI: 10.5220/0003659404330436

in Bibtex Style

@conference{keod11,
author={Martina Husáková and Pavel Čech},
title={EXPLOITATION OF ONTOLOGY-BASED RECOMMENDATION SYSTEM WITH MULTI-AGENT SIMULATIONS},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={433-436},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003659404330436},
isbn={978-989-8425-80-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - EXPLOITATION OF ONTOLOGY-BASED RECOMMENDATION SYSTEM WITH MULTI-AGENT SIMULATIONS
SN - 978-989-8425-80-5
AU - Husáková M.
AU - Čech P.
PY - 2011
SP - 433
EP - 436
DO - 10.5220/0003659404330436