Abstract
In this paper we describe how a welldesigned Spatial Decision Support System (SDSS) may facilitate initial (immediate) decision making, while establishing a robust foundation and framework for improving effectiveness over time as new data and knowledge becomes available. 'Smart Knowledge Capture' is a set of methods for rapidly developing a strong SDSS for adaptive management. We review some of the MIS tools used in Smart Knowledge Capture: multicriteria decision analysis (MCDA) tools, online surveys, online knowledge portals, ontology systems, and describe the architecture of an SDSS that stores and utilizes this knowledge. We illustrate these concepts using our recent work supporting the development of a revised desert tortoise recovery plan.
Recommended Citation
Murphy, Philip J.; Li, Naicong; Averill-Murray, Roy C.; Burgess, Paul; and Strout, Nathan, "Smart Knowledge Capture for Developing Adaptive Management Systems" (2008). AMCIS 2008 Proceedings. 174.
https://aisel.aisnet.org/amcis2008/174