Online data mining services for dynamic spatial databases II: air quality location based services and sonification

Abstract

This paper introduces online data mining services for dynamic spatial databases associated with environmental monitoring networks. In particular, it describes an application that uses these services with sonification for air quality location based information services to the general public. The data mining services use Artificial Neural Networks, to find temporal relations in the monitored parameters. The execution of the algorithms performed at the server side and a distributed processing scheme is used to overcome problems of scalability. In addition, two other families of web services are made available to support the discovery of temporal relations: vectorial and raster map? services and a sonification service. The map services were implemented in DM Plus, a client application presented in part I. The sonification service is described in this paper and illustrated through an application study that implements an air quality index with sonification for mobile phones.