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N. Gautier

dblp:69/3525 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 56% Environmental and earth informatics · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Environmental and earth informatics
biodiversity informatics
0.011990
Object-centered representation for species systematics and identification in living systems in nature · Comput. Appl. Biosci. 1990
Bioinformatics and computational biology
species identification
0.011990
Object-centered representation for species systematics and identification in living systems in nature · Comput. Appl. Biosci. 1990
Bioinformatics and computational biology
species classification
0.011990
Object-centered representation for species systematics and identification in living systems in nature · Comput. Appl. Biosci. 1990

Methods — techniques the papers use, named apart from their topics

object-centered representation · 0.0knowledge-based system · 0.0
YearPublicationVenuePosition
1990 Object-centered representation for species systematics and identification in living systems in nature
abstract
An artificial intelligence application to identification in biological taxonomy is presented. An object-centered representation is described using SHIRKA, a knowledge-based system developed in France. The capacities of this system, relating to a classification algorithm, are described. An application to the identification of the trees and lianas of the evergreen forests of the Western Ghats (India) is presented to illustrate the problems encountered in the development of the knowledge base. A model of a systematist's reasoning, using evolutionary principles, is the basis of this work. Finally the efficiency of the system is discussed.
N. Gautier, A. Pave
Comput. Appl. Biosci.1