We then discuss how to work with ontologically
demarcated data in the world where such resources are practically nonexistent. Finally,
we show how resource description framework (RDF) demarcated data is to be
used to support personal information delivery. We conclude with a description of the
current state of implementation and plans for further development of the system.
Background.
There are two main themes that permeate the scenarios and the proposed solution
presented previously. These are: information overload and need for content personalization.
One of the seminal papers that addresses exactly these two problems
was published by Maes (1994). There she suggested that it will be intelligent software
agents that will solve the problem of information overload. In a way it can
be claimed that it is that paper that grounded in computer science the notion of a
personal software agent that acts on behalf of its user and autonomously works
to deliver desired personalized services. This notion is particularly well matching
with travel support, where for years human travel agents played exactly the role
that personal agents (PAs) are expected to mimic.
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