Context-aware service discovery using case-based reasoning methods

Authors:
Markus Weber;Thomas Roth-Berghofer;Volker Hudlet;Heiko Maus;Andreas Dengel
Affiliations:
Knowledge Management Department, German Research Center for Artificial Intelligence GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence GmbH, Kaiserslautern, Germany and Knowledge-Based Systems Group, Department of Computer Science, University of K ...;Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, Kaiserslautern;Knowledge Management Department, German Research Center for Artificial Intelligence GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence GmbH, Kaiserslautern, Germany and Knowledge-Based Systems Group, Department of Computer Science, University of K ...
Venue:
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Year:
2009

Citing 3
Cited 0

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Abstract

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 Developer 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.