Validating SPONGIA, an expert system for sponge identification

M. Domingo, M. Martín-Baranera, F. Sanz, C. Sierra, M. J. Uriz

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

In this article we present the validation of SPONGIA, an expert system to help in the identification of marine sponges. Validation was performed by using data from 82 randomly selected literature descriptions of sponge species. The data gathered by SPONGIA to identify each specimen were obtained from the bibliographical description. The set of cases, in which each case was described by the data gathered by SPONGIA, was presented to five internationally recognised experts in sponge systematics. The identifications generated by SPONGIA were compared with the identifications of these human experts by means of a cluster analysis. The similarity between SPONGIA and human identifications was assessed using four measures: Euclidean distance, City-block distance, Mahalanobis distance and Kappa index. In this article we show that SPONGIA obtains similar quality results to the experts in Porifera systematics. © 1999 Elsevier Science Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)379-384
JournalExpert Systems with Applications
Volume16
Issue number4
DOIs
Publication statusPublished - 1 Jan 1999

Keywords

  • Cluster analysis
  • Marine sponges and systematics
  • SPONGIA

Fingerprint Dive into the research topics of 'Validating SPONGIA, an expert system for sponge identification'. Together they form a unique fingerprint.

Cite this