A model driven framework for geographic knowledge discovery

O. Glorio, J. Zubcoff, J. Trujillo
2009 2009 17th International Conference on Geoinformatics  
Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those systems is a complex task due to it does not follow a systematic, integrated and standard methodology. To overcome these pitfalls, in this paper, we propose a modeling framework that addresses the
more » ... ment of the different parts of a multilayer GKD process. The main advantages of our framework are that: (i) it reduces the design effort, (ii) it improves quality systems obtained, (iii) it is independent of platforms, (iv) it facilitates the use of data mining techniques on geo-referenced data, and finally, (v) it ameliorates the communication between different users.
doi:10.1109/geoinformatics.2009.5293412 fatcat:kavn2236nbgv3pjpjf5nwzz2ka