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An Ontology-Based Interface for Machine Learning

By: Mathias Bauer and Stephan Baldes (2005)

In J. Riedl, A. Jameson, D. Billsus, & T. Lau (Eds.), Proceedings of the 2005 International Conference on Intelligent User Interfaces (pp. 314-316). New York: ACM.

Abstract: Machine learning (ML) is a complex process that can hardly be carried out by non-expert users. Especially when using adaptive systems that interpret and exploit observations of the user to modify their behavior according to the user's perceived preferences, even na´ve users may be confronted with learning systems. This paper presents an approach to make non-expert users understand and influence an ML system such as to improve trust and acceptance of the overall system behavior.


BibTeX entry:

year = {2005},
author = {{Bauer}, Mathias and {Baldes}, Stephan},
editor = {{Riedl}, John and {Billsus}, Daniel and {Lau}, Tessa},
title = {An Ontology-Based Interface for Machine Learning},
booktitle = {Proceedings of the 2005 International Conference on Intelligent User Interfaces},
address = {New York},
publisher = {ACM}
pages = {314-316}}