Processing architecture based on measurement metadata

In this invited talk, a processing architecture specialized in the measurement and evaluation will be shown. One key aspect associated with the measurement process is that the measures must be consistent and comparable in any moment for making decisions properly. In this way, the processing architecture is based on the C-INCAMI framework (Context-Information Need, Concept model, Attribute, Metric and Indicator) to define the measurement projects. Thus, the data stream processing and monitoring can be guided by metadata. Additionally, the proposal architecture uses a big data repository to make available the data for consumption and to manage an organizational memory, which allows a feedback mechanism in relation with online processing. Next, the formal processes associated to the processing architecture was documented in SPEM version 2 and will be introduced. From this internal point of view, the relation between the Measurement and Evaluation (M&E) framework, the data stream processing, the big data repository and the organizational memory will be shown jointly with the future works. Finally, the case associated with the weather radar of the Experimental Agricultural Station (EAS) INTA Anguil (La Pampa State, Argentina) will be presented jointly with its technological approach.