Paper Info
Title
Generic integration of environmental decision support systems - state-of-the-art
Abstract
Environmental Information Systems (EIS) and Environmental Decision Support Systems (EDSS) are major building blocks in environmental management and science today. They are used at all levels of public bodies (community, state, national and international level), in science, in management and as information platforms towards the public. EIS and EDSS are usually said to have certain characteristics, which distinguish them from standard information systems, e.g. information complexity in time and space or uncompleteness or fuzzyness of data items. By the very nature of the complex tasks involved, different methodologies can be an option while developing new system, for instance modelling, decision theoretic approaches, artificial intelligence, geographical analysis, statistics and many more. As software developers, we face the situation where we have to recompose these different methodologies in different application scenarios over and over again. This paper discusses the question, how different EIS and EDSS tools can be integrated in a generic way. For this purpose, we discuss a number of integration strategies and give two examples of current EU-funded projects.
Year
DOI
Venue
2005
10.1016/j.envsoft.2004.09.004
Environmental Modelling and Software
Keywords
Field
DocType
generic integration,different application scenario,eu fp5,environmental information systems,environmental decision support,environmental information systems (eis),information platform,gimmi,environmental management,environmental decision support system,different methodology,information complexity,i-marq,different eis,standard information system,edss tool,environmental decision support systems (edss),software development,information system,artificial intelligent
Information system,Management information systems,Intelligent decision support system,Computer science,Decision support system,Software,Environmental information systems,Information complexity,Management science
Journal
Volume
Issue
ISSN
20
10
Environmental Modelling and Software
Citations 
PageRank 
References 
39
6.31
4
Authors
1
Name
Order
Citations
PageRank
Ralf Denzer117656.43