Information Technology Reference
In-Depth Information
Chapter 7
Personalized Information Access
Using Semantic Knowledge
Till Plumbaum and Andreas Lommatzsch
Abstract
Handling the amount of information on the Web, known as the information
overload problem, requires tremendous effort. One approach that relieves the user
from this burden is offering personalized information access. Systems that adopt to
users' preferences are called adaptive systems. Based on a user profile containing
details about the users' preferences, the system adapts its content or the user interface
to the user. In this chapter, we present a personalized news information system,
providing users with entertainment news tailored to their needs. Using semantic
technologies, the time to learn user preferences is reduced to a few interactions. We
present the system in detail, and present an evaluation showing the benefits coming
with the semantic approach.
Show Me What You Like
Hanging out on the schoolyard during a break, Carl and his friends are reading and
discussing some news about their favorite music artists. One of Carl's friends starts
a discussion about the new Pop band coming next week to play a concert. While
everybody agreed that the music is pretty cool, opinions are deeply divided about
the origins of the different band members.
To settle the problem, all friends including Carl pull out their cell phones and
start searching the Internet and Wikipedia for more information. Carl uses a new app
he just downloaded because of a recommendation from his sister Clara. SERUM,
which is the name of the app, is an information system for news using semantic
knowledge to provide more information than only showing news and event dates. Carl
quickly asks SERUM for information about the band, and after a few clicks through
the information graph he can easily provide information about the different band
members. His friends are impressed and immediately start asking more questions,
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