Authors:
Antonio B. Bailón
1
;
Eva Gibaja
1
;
Ramón Pérez
1
and
Carmen Quesada
2
Affiliations:
1
University of Granada, Spain
;
2
Herbario de la Universidad de Granada, Spain
Keyword(s):
Gymnosperms, Identification Keys, Expert Systems, Artificial Intelligence, World Wide Web, Iberian Peninsula, Certainty Factors
Related
Ontology
Subjects/Areas/Topics:
Applications of Expert Systems
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Verification and Validation of Knowledge-Based Systems
;
Web Information Systems and Technologies
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.