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Models of practical taxonomic reasoning in knowledge-based systems: an application to Porifera
Domingo, M. (1996). Models of practical taxonomic reasoning in knowledge-based systems: an application to Porifera, in: Willenz, Ph. Recent advances in sponge biodiversity inventory and documentation: Proceedings of the 10th Workshop on Atlanto-Mediterranean Sponge Taxonomy, Brussels, April 25-30, 1995. Bulletin van het Koninklijk Belgisch Instituut voor Natuurwetenschappen. Biologie = Bulletin de l'Institut Royal des Sciences Naturelles de Belgique. Biologie, 66(Suppl.): pp. 27-35
In: Willenz, Ph. (1996). Recent advances in sponge biodiversity inventory and documentation: Proceedings of the 10th Workshop on Atlanto-Mediterranean Sponge Taxonomy, Brussels, April 25-30, 1995. Bulletin van het Koninklijk Belgisch Instituut voor Natuurwetenschappen. Biologie = Bulletin de l'Institut Royal des Sciences Naturelles de Belgique. Biologie, 66(Suppl.). Koninklijk Belgisch Instituut voor Natuurwetenschappen: Brussel, Belgium. 242 pp., more
In: Bulletin van het Koninklijk Belgisch Instituut voor Natuurwetenschappen. Biologie = Bulletin de l'Institut Royal des Sciences Naturelles de Belgique. Biologie. Koninklijk Belgisch Instituut voor Natuurwetenschappen: Bruxelles. ISSN 0374-6429, more
Peer reviewed article  

Also published as
  • Domingo, M. (1996). Models of practical taxonomic reasoning in knowledge-based systems: an application to Porifera. Bull. K. Belg. Inst. Nat. Wet. 66(Suppl.): 27-35, more

Available in Author 
    VLIZ: Proceedings [117875]
Document type: Conference paper

Keyword
    Marine

Author  Top 
  • Domingo, M.

Abstract
    When identifying a specimen, experts in systematics are able to draw sound conclusions even in the presence of uncertain and incomplete data. The purpose of this paper is to report on how expert system technologies enable us to model taxonomic expertise and simulate some of the experts' reasoning skills. We emphasise the reasoning strategies of SPONGIA, an expert system to help in the identification of marine sponges. It has been implemented using the MILORD II language for the construction of expert systems. We illustrate how the richness of taxonomic knowledge has been represented by means of rules and meta-rules. In addition, we show how the uncertainty handling and deduction mechanisms make it possible to emulate complex identification strategies such as those exhibited by experts in systematics.

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