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