Information Technology Reference
In-Depth Information
Chapter 9
Case-Based Reasoning in a
Travel Medicine Application
Kerstin Bach, Meike Reichle, and Klaus-Dieter Althoff
Intelligent Information Systems Lab
University of Hildesheim
Marienburger Platz 22, 31141 Hildesheim, Germany
lastname@iis.uni-hildesheim.de
Abstract.
This chapter focuses on knowledge management for com-
plex application domains using Collaborative Multi-Expert-Systems. We
explain how different knowledge sources can be described and orga-
nized in order to be used in collaborative knowledge-based systems. We
present the docQuery system and the application domain travel medicine
to exemplify the knowledge modularization and how the distributed
knowledge sources can be dynamically accessed and finally reassembled.
Further on we present a set of properties for the classification of knowl-
edge sources and in which way these properties can be assessed.
1
Introduction
This chapter will give an introduction how Case-Based Reasoning (CBR) can be
used, among other methodologies from the field of Artificial Intelligence (AI), to
build a travel medical application. There are a high variety of AI methods and we
focus on how these methods can be combined, coordinated and further developed
to meet the requirements of an intelligent information system. We will use Infor-
mation Extraction techniques to analyze text, we have multi-agent technologies
to coordinate the different methods that are executing the retrieval and in the
following to combine the result sets. Further on we have to deal with rules and
constraints that insure correct results and since we are accessing different kinds
of knowledge sources we use XML and RDF as description languages. Within
our application CBR will be the main underlying methodology. We will explain
how travel medical case bases can be structured, how the required knowledge
can be acquired, formalized and provided, as well as how that knowledge can be
maintained.
The chapter will begin by describing Aamodt's and Plaza's 4R cycle [1] from
the travel medical point of view. Then it will explain how the CBR methodology
fits in the travel medical application domain. For this purpose we will present
an intelligent information system on travel medicine, called docQuery, which
is based on CBR and will serve as a running example throughout the whole
chapter.
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