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2008 IEEE International Conference on Semantic Computing
Using Similarity Measures for Context-Aware User Interfaces
August 04-August 07
ISBN: 978-0-7695-3279-0
Context-aware user interfaces facilitate the user interaction by suggesting or prefilling data derived from the user’s current context. This raises the problem of mapping context information to input elements in the user interface. We address this problem for web applications by (i) automatically extracting a textual representation of their input elements, and by (ii) mapping context information to them using these textual representations. In this paper, we present an approach for the representation extraction task that outperforms existing ones, and we explore the potential of similarity measures for the context mapping task.
Index Terms:
Context-aware User Interface, Intelligent User Interface, Semantic Similarity, Label Recognition, Web application
Citation:
Melanie Hartmann, Torsten Zesch, Max M?hlh?user, Iryna Gurevych, "Using Similarity Measures for Context-Aware User Interfaces," icsc, pp.190-197, 2008 IEEE International Conference on Semantic Computing, 2008
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