Sensor Networks in the Wild: Challenges and
  opportunities for Semantic Web technologies
                  (Invited talk)

                                Dave de Roure1

                 1
                  School of Electronics and Computer Science
    University of Southampton, Southampton, SO17 1BJ, United Kingdom
                            dder@ecs.soton.ac.uk


    Real sensor net deployments reveal challenges that may benefit significantly
from Semantic Web solutions. As data is collected we need to record its context
so that it may be properly interpreted, and when it is published we need to know
its provenance so that we can understand quality and trustworthiness. With
more devices delivering more data more often we need to deal with a deluge of
data through automation. Often neglected, we also need to be able to configure
and monitor devices and networks, and to handle diagnostics normal running
may be the exceptional case. In use, data is linked, annotated and integrated.
Mashups and workflows can be assembled rapidly with assistance in finding and
integrating data and the services that process it. And, as the data is used in
data-intensive science, we can share not just the data but the methods that are
used to handle it.