On the problematic of data integrity for communication of large EO Repositories and Information Mining Systems

Kurzfassung

Large EO repositories and Information Mining Systems (IMS) usually are based on different system architecture and are operated as stand alone systems. The communication of these systems for the exchange of image and metadata files poses new challenges to the developer due to the systems heterogeneity, the enormous volume of archived data and communication limitations. Maintain data integrity in different data driven as well as user interactive transfer and learning scenarios, is an important issue. We propose a theoretical framework to maintain data integrity in communicating systems and illustrate it on the example communication of DIMS (German Aerospace Center – Data information management system) with KES (Knowledge enabled services) system, the recently developed Information Mining System.