Multi-agent Systems and Ontologies Applied to New Industrial Domains - Case Study: Ornamental Plants

Lorena Otero Cerdeira, Francisco J. Rodríguez Martínez, Tito Valencia Requejo, Loxo Lueiro Astray

Abstract

This paper describes a real solution applied to an enterprise of ornamental plant selling and distribution. The platform that we propose uses intelligent agent technologies and ontologies to meet the special needs of an enterprise of this kind. We present the architecture defined with the agents involved in both parties, the plant wholesaler and the plant producers. A description of the ontologies that these agents use to interact is also provided. In the final section some relevant issues detected and conclusions will be presented.

References

  1. Cicortas, A. and Iordan, V. (2011). Multiagent systems for resource allocation.
  2. David, J., Euzenat, J., Scharffe, F., and dos Santos, C. T. (2010). The Alignment API 4.0. IOS Press, 1:1 - 8.
  3. Euzenat, J. (2001). Towards a principled approach to semantic interoperability.
  4. Euzenat, J. and Shvaiko, P. (2007). Ontology Matching. Springer.
  5. Falconer, S. M. and Noy, N. F. (2009). Interactive Techniques to Support Ontology Matching. Data-Centric Systemsand Applications - Springer.
  6. Gowri, R., Kailas, A., Jeyaprakash, R., and Anirudh, C. (2010). Development of multi-agent system for fire accident detection using gaia methodology. International Journal of Computer Science and Information Security (IJCSIS).
  7. Grau, B. C., Horrocks, I., Motik, B., Parsia, B., PatelSchneider, P., and Sattler, U. (2008). Owl 2: The next step for owl.
  8. Kalfoglou, Y. and Schorlemmer, M. (2003). Ontology mapping: The state of the art. Science, 2:3.
  9. Klein, M. (2001). Combining and relating ontologies: An analysis of problems and solutions.
  10. Kö pcke, H. and Rahm, E. (2009). Frameworks for entity matching: A comparison. Data and Knowledge Engineering - Elsevier Science.
  11. Laera, L., Blacoe, I., and Tamma, V. (2007). Argumentation over ontology correspondences in mas.
  12. Macho, S., Torrens, M., and Faltings, B. (2000). A multiagent recommender system for planning meetings. In In Proc. of the Agents'2000 workshop on Agent-based recommender systems (WARS'2000).
  13. Murakami, Y., Minami, K., Kawasoe, T., and Ishida, T. (2002). Multi-agent simulation for crisis management.
  14. Noy, N. F. (2004). Semantic Integration: A Survey Of Ontology-Based Approaches. SIGMOD, 33(4).
  15. Roussey, C., Pinet, F., Kang, M. A., and Corcho, O. (2011). An Introduction to Ontologies and Ontology Engineering. Advanced Information9 and Knowledge Processing - Springer.
  16. Shamsfard, M. and Barforoush, A. A. (2003). The State of the Art in Ontology Learning: A Framework for Comparison.
  17. Sharma, S. (2009). Avatarsim: A multi-agent system for emergency evacuation simulation. Journal of Computational Methods in Science and Engineering.
  18. Shvaiko, P. and Euzenat, J. (2012). Ontology matching: state of the art and future challenges. IEEE Transactions on Knowledge and Software Engineering.
  19. Trojahn, C., Moraes, M., Quaresma, P., and Vieira, R. (2008). A cooperative approach for composite ontology mapping.
  20. Valckenaers, P., Sauter, J., Sierra, C., and RodriguezAguilar, J. A. (2006). Applications and environments for multi-agent systems. Springer Science Business Media.
  21. Wiesman, F., Roos, N., and Vogt, P. (2002). Automatic ontology mapping for agent communication. ACM.
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Paper Citation


in Harvard Style

Otero Cerdeira L., J. Rodríguez Martínez F., Valencia Requejo T. and Lueiro Astray L. (2012). Multi-agent Systems and Ontologies Applied to New Industrial Domains - Case Study: Ornamental Plants . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 357-364. DOI: 10.5220/0004136303570364


in Bibtex Style

@conference{keod12,
author={Lorena Otero Cerdeira and Francisco J. Rodríguez Martínez and Tito Valencia Requejo and Loxo Lueiro Astray},
title={Multi-agent Systems and Ontologies Applied to New Industrial Domains - Case Study: Ornamental Plants},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={357-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004136303570364},
isbn={978-989-8565-30-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - Multi-agent Systems and Ontologies Applied to New Industrial Domains - Case Study: Ornamental Plants
SN - 978-989-8565-30-3
AU - Otero Cerdeira L.
AU - J. Rodríguez Martínez F.
AU - Valencia Requejo T.
AU - Lueiro Astray L.
PY - 2012
SP - 357
EP - 364
DO - 10.5220/0004136303570364