Document of bibliographic reference 875

BibliographicReference record

Type

Bibliographic resource

Type of document

Journal article

BibLvlCode

AS

Title

Models of practical taxonomic reasoning in knowledge-based systems: an application to Porifera

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.

Bibliographic citation

Domingo, M. (1996). Models of practical taxonomic reasoning in knowledge-based systems: an application to Porifera. Bull. Kon. Belg. Inst. Natuurwet. Biologie 66(Suppl.): 27-35

Topic

Marine

Is peer reviewed

true