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More and more sensors are getting Internet connected. Examples are cameras on cell phones, CCTV cameras for traffic control as well as dedicated security and defense sensor systems. Due to the steadily increasing data volume, human exploitation of all this sensor data is impossible for effective mission execution. Smart access to all sensor data acts as enabler for questions such as "Is there a person behind this building" or "Alert me when a vehicle approaches".The GOOSE concept has the ambition to provide the capability to search semantically for any relevant information within "all" (including imaging) sensor streams in the entire Internet of sensors. This is similar to the capability provided by presently available Internet search engines which enable the retrieval of information on "all" web pages on the Internet. In line with current Internet search engines any indexing services shall be utilized cross-domain. The two main challenge for GOOSE is the Semantic Gap and Scalability.The GOOSE architecture consists of five elements: (1) an online extraction of primitives on each sensor stream; (2) an indexing and search mechanism for these primitives; (3) a ontology based semantic matching module; (4) a top-down hypothesis verification mechanism and (5) a controlling man-machine interface. This paper reports on the initial GOOSE demonstrator, which consists of the MES multimedia analysis platform and the CORTEX action recognition module. It also provides an outlook into future GOOSE development.

ICT has the potential to enable a low carbon economy, as pointed out by many studies. One example of the energy (and CO2) saving potential of ICT is illustrated in this chapter: how much energy (and emissions) can be saved if the invoicing process is redesigned? Although there is a net positive effect, the way the actual process is implemented can make a large difference. This led to the question of how to evaluate different projects or different designs, when it comes to the net sustainability effects. Then a framework is introduced to compare the combined sustainability effects of all the steps in a work process compared to alternative processes. The authors then describe existing indicators and metrics that can be used to fill the framework.