Context-Aware Service Discovery using Case-Based Reasoning Methods

Markus Weber; Thomas Roth-Berghofer; Volker Hudlet; Heiko Maus; Andreas Dengel

In: Bärbel Mertsching; Marcus Hund; Zaheer Aziz (Hrsg.). KI 2009: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2009), September 15-18, Paderborn, Germany, Page 664, Lecture Notes in Artificial Intelligence (LNAI), Vol. 5803, Springer-Verlag, Heidelberg, 9/2009.


This paper presents an architecture for accessing distributed services with embedded systems using message oriented middleware. For the service discovery a recommendation system using case-based reasoning methods is utilized. The main idea is to take the context of each user into consideration in order to suggest appropriate services. We define our context and discuss how its attributes are compared. The presented prototype was implemented for Ricoh & Sun Devel- oper Challenge. Thus the client software was restricted to Ricoh's Multi Functional Product as an embedded system. The similarity functions were designed and tested using myCBR, and the service recommender application is based on the jCOLIBRI CBR framework.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence