The internet is the single largest information resource in the world. It is, however, not being
used to is full potential. Currently most the information is written using syntactical machine
readable languages such as HTML. These languages are limited in that they are only intended
for human consumption. To fully unlock the potential of such a vast resource of information, we
need to make the information not only machine readable but machine-understandable. In order to
gain machine understanding we need semantic languages which are able to define meaning to the
information being stored. Agents (human or machine) could then use this information in variety
of different ways.
A large amount of geographical information is currently being stored and delivered over the
internet. Internet providers such as the Ordnance Survey are realizing the potential and are
currently offering their data in GML format. Geographic digital libraries, such as the ADL, are
being established. There is, however, the need to realize the potential of semantically enriching
the geographic information to provide more automated and intelligent ways of managing and
retrieving the data over the web.
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