Abstract
Leveraging interconnections across stored personal information is a novel concept to find desired information by context and structure. This paper introduces a combined navigation and search interface for homogeneous knowledge representations based on path and set calculation. It uses graph theory to provide a more intuitive way of supplying search criteria and retrieving related information.
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Heider, J., Schütte, J. (2008). On Path-Centric Navigation and Search Techniques for Personal Knowledge Stored in Topic Maps. In: Maicher, L., Garshol, L.M. (eds) Scaling Topic Maps. TMRA 2007. Lecture Notes in Computer Science(), vol 4999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70874-2_20
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DOI: https://doi.org/10.1007/978-3-540-70874-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70873-5
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