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Semantic Web Technologies for Context-Aware Museum Tour Guide Applications
Any type of content formally published in an academic journal, usually following a peer-review process.
posted on 01.01.2005by Shih-Chun Chou, Wen-Tai Hsieh, Fabien L. Gandon, Norman Sadeh
Traditionally, visitors to museums have been left
having to choose between finding their way around
exhibits on their own or taking a standardized
group tour with a guide. In this paper, we describe
a context-aware museum tour guide that adjusts its
recommendations to the interests and contexts of
individual visitors and enables them to selectively
share their experience with others. The tour guide
is built around an innovative Semantic Web
framework that minimizes the development and
maintenance costs associated with the introduction
of new exhibits, new visitor-oriented services and
new sources of contextual information. In
particular, it features a semantic web rule
reasoning engine that enables visitor-oriented
services to identify relevant sources of contextual
information and to enforce user-specified privacy
preferences about what information they are
willing to share with others (e.g. “Only members
of my group can see my current location”, or
“Only my friends can see how I rate exhibits”).
While still in prototype stage, the tour guide’s
target environment is the National Museum of
Natural Science, one of Taiwan’s largest museums
with over 3 million visitors per year.