Interested readers can find more information about this
distinction in Angryk et al. (2002) and Gordon and Paprzycki (2005).
While the dream of the Semantic Web is a beautiful one indeed, currently (outside
of a multitude of academic research projects) it is almost impossible to find within
the Web large sources of clean explicitly ontologically demarcated content (in
particular, travel related content). This being the case, it is extremely difficult to
find actual data that can be used (e.g., for testing purposes) in a system like the one
we are developing. Obviously, we could use some of the existing text processing
techniques to classify pages as relevant to various travel topics, but this is not what
we attempt to achieve here. Therefore, we will, for the time being, omit the area
denoted as other sources that contains mostly weakly structured and highly volatile
data (see also Nwana & Ndumu, 1999, for an interesting discussion of perils of
dealing with dynamically changing data sources). This area will become a source
Figure 1. Top level view of the system
CONTENT
VCP
other
sources
Content
Collection
Content
Management
Content
Delivery Content
Storage
User
User
User
User
Ut l z ng Semant c Web and Software Agents n a Travel Support System
Copyright ?© 2007, Idea Group Inc.
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