Keywords
environmental information fusion, environmental image reverse engineering service
Start Date
1-7-2012 12:00 AM
Abstract
The PESCaDO project (http://www.pescado-project.eu/) aims at providing tailored environmental information to EU citizens. For this purpose, PESCaDO delivers personalized environmental information, based on coordinating the data flow from multiple sources. After the necessary discovery, indexing and parsing of those sources, the harmonization and retrieval of data is achieved through Node Orchestration and the creation of unified and accurate responses to user queries by using the Fusion service, which assimilates input data into a coherent data block according to their imprecision and relevance in respect to the user defined query. Environmental nodes are selected from open-access web resources of various types, and from the direct usage of data from monitoring stations. Forecasts of models are made available through the synergy with the AirMerge Image parsing engine and its chemical weather database. In the presented paper, elements of the general architecture of AirMerge, and the Fusion service of PESCaDO are exposed as an example of the modus operandi of environmental information fusion for the atmospheric environment.
Fusion of Environmental Information for the Delivery of Orchestrated Services for the Atmospheric Environment in the PESCaDO project
The PESCaDO project (http://www.pescado-project.eu/) aims at providing tailored environmental information to EU citizens. For this purpose, PESCaDO delivers personalized environmental information, based on coordinating the data flow from multiple sources. After the necessary discovery, indexing and parsing of those sources, the harmonization and retrieval of data is achieved through Node Orchestration and the creation of unified and accurate responses to user queries by using the Fusion service, which assimilates input data into a coherent data block according to their imprecision and relevance in respect to the user defined query. Environmental nodes are selected from open-access web resources of various types, and from the direct usage of data from monitoring stations. Forecasts of models are made available through the synergy with the AirMerge Image parsing engine and its chemical weather database. In the presented paper, elements of the general architecture of AirMerge, and the Fusion service of PESCaDO are exposed as an example of the modus operandi of environmental information fusion for the atmospheric environment.
