Global Positioning System Reference
In-Depth Information
with cameras and space imaging. They will be increasingly in a 3D format,
appearing as scene views rather than a normal flat map view. The 3D images will
include the inside of some buildings and also extend into virtual worlds. Some
images may be video streams or animations based on the 3D models. Tools are
therefore needed to create automatically all the visual components. Research work
will continue and as the Semantic Web approach starts to automate the
information behind Whereness, the Web will show dynamic models of the real
world, with actual images rendered on the surfaces of the models with close
associations with virtual worlds. For example, if I am represented by an avatar in a
virtual world perhaps I would choose to be represented by the same character in
the real world model. Perhaps in my home there would be a virtual portal to
provide a means to cross between the real world and my virtual world. My
friend's portals would all lead to the same virtual world where we might be
meeting online and engaging in social activity.
Governments and large organizations can reap great rewards from Whereness,
but currently the main barrier to Whereness is a lack of trust. Time and again
when positioning is debated, people raise concerns about privacy and trust. The
only way to deal with these issues is to be more open and allow users to view and
control for themselves any information collected, stored, and shared if it involves
them or things with which they have an interest. If organized optimally,
Whereness can be a benefit to both users and organizations, but mutual trust and
symmetry in control is needed first.
Rather than conclude on the rather negative Big Brother issue, perhaps it
would be better to think of Whereness as part of something magic. It will enrich
lives and extend the sense of self and the social group; it will lead to new fun and
games and also could help to save the planet.
References
[1]
Steventon, A., Wright, S, Intelligent Spaces The Application of Pervasive ICT , London,
Springer-Verlag, 2006.
[2]
Dennis, R, Wisely, D. “Mobility and Convergence,” BT Technology Journal , Vol. 25, No. 2,
Apr. 2007.
[3]
Harle, R., Hopper, A., “Cluster Tagging: Robust Fiducial Tracking for Smart
Environments,” Location-and Context-Awareness Second International Workshop, LoCA,
Dublin, Ireland, May 2006, pp. 14-29.
[4]
Berners-Lee, T., Fischetti, M., Weaving the Web: The Original Design and Ultimate Destiny
of the World Wide Web by Its Inventor , San Francisco: HarperSanFrancisco, 1999.
[5]
WC3, “Technical Reports and Publications,” http://www.w3.org/TR/#Recommendations,
Jan. 2008.
[6]
Noy, N.F., McGuinness, D.L., “Ontology Development 101: A Guide to Creating Your First
Ontology,” Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and
Stanford Medical Informatics Technical Report SMI-2001-0880 , Mar. 2001.
 
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