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The semantic web: good ideas poorly supported?

The semantic web and open linked data open-up the vision of scientific data published in machine-readable form. But their adoption faces some challenges, many self-inflicted.

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The next challenges for situation recognition

As a pervasive systems research community we’re doing quite well at automatically identifying simple things happening in the world. What is the state of the art, and what are the next steps?

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Contextual processes

Context-aware systems are intended to follow and augment user-led, real-world processes. These differ somewhat from traditional workflow processes, but share some characteristics. Might the techniques used to implement business processes via web service orchestration fit into the context-aware landscape too?

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Sensing financial problems

Just as we can think of large-scale, detailed financial modeling as an exercise in simulation and linked data, we can perhaps also see the detection of hazards as an exercise in sensor fusion and pervasive computing, turning a multitude of sensor data into derived values for risk and/or situations requiring attention. There’s a wealth of research in these areas that might be applicable.

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