Abstract
In this article we envision factors and trends that shape the next
generation of environmental monitoring systems. One key factor in this respect
is the combined effect of end-user needs and the general development of IT
services and their availability. Currently, an environmental (monitoring)
system is assumed to be reactive. It delivers measurement data and
computational results only if the user explicitly asks for it either by query
or subscription. There is a temptation to automate this by simply pushing data
to end-users. This, however, leads easily to an “advertisement strategy”,
where data is pushed to end-users regardless of users’ needs. Under this
strategy, the mere amount of received data obfuscates the individual messages;
any “automatic” service, regardless of its fitness, overruns a system that
requires the user’s initiative. The foreseeable problem is that, unless there
is no overall management, each new environmental service is going to compete
for end-users’ attention and, thus, inadvertently hinder the use of existing
services. As the main contribution we investigate the nature of proactive
environmental systems, and how they should be designed to avoid the
aforementioned problem. We also discuss how semantics, participatory sensing,
uncertainty management, and situational awareness link to proactive
environmental systems. We illustrate our proposals with some real-life
examples
Original language | English |
---|---|
Title of host publication | iEMSs 2012 Proceedings |
Editors | R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp |
Publication status | Published - 2012 |
MoE publication type | A4 Article in a conference publication |
Event | 6th International Congress on Environmental Modelling and Software, iEMSs 2012 - Leipzig, Germany Duration: 1 Jul 2012 → 5 Jul 2012 |
Conference
Conference | 6th International Congress on Environmental Modelling and Software, iEMSs 2012 |
---|---|
Abbreviated title | iEMSs 2012 |
Country/Territory | Germany |
City | Leipzig |
Period | 1/07/12 → 5/07/12 |
Keywords
- Environmental monitoring
- Participatory sensing
- Uncertainty management
- Software agents