Forest ecosystem management via the NED intelligent information system

Authors:
W. D. Potter;X. Deng;S. Somasekar;S. Liu;H. M. Rauscher;S. Thomasma
Affiliations:
-;-;-;-;-;-
Venue:
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Year:
2000

Citing 6
Cited 0

Hyper-semantic data modeling

Data & Knowledge Engineering
Diagnosis, parsimony, and genetic algorithms

IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Extending decision support systems: the integration of data, knowledge, and model management

Annals of Operations Research - Special issue on model management in operations research
Interoperability issues in large-scale distributed object systems

ACM Computing Surveys (CSUR)
Interoperability

ACM Computing Surveys (CSUR)
Professional Dcom Programming

Professional Dcom Programming

Quantified Score

Hi-index	0.00

Visualization

Abstract

We view an Intelligent Information System (IIS) as composed of a unified knowledge base, database, and model base. This allows an IIS to provide responses to user queries regardless of whether the query process involves a data retrieval, an inference, a computational method, a problem solving module, or some combination of these. The unified integration of these components in a distributed environment for forest ecosystem management is the focus of our continuing research.