G.R.E.E.N. - An Expert System to identify Gymnosperms

Antonio B. Bailón, Eva Gibaja, Ramón Pérez, Carmen Quesada

Abstract

The application of Artificial Intelligence (AI) techniques to the problem of botanical identification is not particularly widespread even less so on Internet. There are several interactive identification systems but they usually deal with raw knowledge so it appears that “research and development of web-based expert systems are still in their early stage” (Li et al., 2002). In this paper we present the G.R.E.E.N. (Gymnosperms Remote Expert Executed over Network) system as an expert system for the identification of Iberian Gymnosperms which allows on-line uncertainty queries to be made. The system is operative and it can be consulted in http://drimys.ugr.es/experto/index.html.

References

  1. Atkinson, W. D. & Gammerman, A. 1987. An application of expert systems technology to biological identification. Taxon 36, 705-714.
  2. Bartley. M. 1999. http://www.herbaria.harvard.edu/computerlab/web_ke ys/navikey/. Consulted 17/2/03
  3. Castroviejo, S., Laínz, M., López González, G., Montserrat, P., Muñoz Garmendia, F., Paiva, J. & Villar, L. 1986. Flora Ibérica. Plantas vasculares de la Península Ibérica e Islas Baleares. Vol. I ed. Real Jardín Botánico, Madrid.
  4. Centre for Pest Information Technology and Transfer (CPITT) at the University of Queensland .1999. http://www.lucidcentral.com/, Consulted 17/2/03
  5. Dallwitz, M. J., Paine, T. A. & Zurcher, E. J. 1993. User's guide to the DELTA System: a general system for processing taxonomic descriptions. 4th edition. http://biodiversity.uno.edu/delta/
  6. Dallwitz, M. J. 2000. A comparison of interactive identification programs. http://biodiversity .uno.edu/delta.
  7. Dickinson T. 1999. http://prod.library.utoronto.ca/polyclave/. Royal Ontario Museum Canada. Consulted 17/2/03
  8. Durkin, J. 1994. Expert Systems. Design and development. Ed. Prentice Hall International, London .
  9. Fermanian T.; Michalski R. S. 1989. Weeder: An Advisory System for the Identification of Grasses in Turf. Agronomy Journal ,81(2), pp 313-316
  10. Font Quer, P. 1979. Diccionario de Botánica. Ed. Labor, Barcelona.
  11. García Rollán, M. 1983. Claves de la flora de España. Península y Baleares. Vol. I., ed. Ed. Mundi-Prensa, Madrid.
  12. Grosser D. & Conruyt N. 1999. Tree-based classification approach for dealing with complex knowledge in natural sciences. Proceedings of ACAI'99 - Machine Learning and Applications. Chania (Greece).
  13. Grove R. F. & Hulse A. C. 1999. An Internet-Based Expert System for Reptile Identification. The First International Conference on the Practical Application of Java, London
  14. Grzymala-Busse, J.W. 1991. Managing Uncertainty in Expert Systems. Ed. Kluwer Academic Publishers.
  15. Ignizio, J. P. 1991. Introduction to Expert Systems. The Development and Implementation of Rule-Based Expert Systems. Ed. McGraw-Hill, New York.
  16. Li D., Fu Z. & Duan Y. 2002. Fish - Expert: a web-based expert system for fish disease diagnosis. Expert Systems with Applications 23, 311-320.
  17. Meacham C. 1996, The Meka for Windows FAQ page. http://ucjeps.berkeley.edu/meacham/meka/ Jepson Herbarium U.C. Berkeley, Consulted 17/2/03
  18. Shortlife, E., & Buchanan, B. G. 1975. A Model of Inexact Reasoning in Medicine. Mathematical Biosciences 23: 351-379.
  19. XID Services, Inc. 1999. http://www.xidservices.com/. Consulted 17/2/03
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Paper Citation


in Harvard Style

B. Bailón A., Gibaja E., Pérez R. and Quesada C. (2004). G.R.E.E.N. - An Expert System to identify Gymnosperms . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 216-221. DOI: 10.5220/0002642702160221


in Bibtex Style

@conference{iceis04,
author={Antonio B. Bailón and Eva Gibaja and Ramón Pérez and Carmen Quesada},
title={G.R.E.E.N. - An Expert System to identify Gymnosperms},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={216-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002642702160221},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - G.R.E.E.N. - An Expert System to identify Gymnosperms
SN - 972-8865-00-7
AU - B. Bailón A.
AU - Gibaja E.
AU - Pérez R.
AU - Quesada C.
PY - 2004
SP - 216
EP - 221
DO - 10.5220/0002642702160221