Abstract
Ontology evolution is an intrinsic phenomenon of any knowledge-intensive system, which can be addressed either implicitly or explicitly. This paper describes an explicit, data-driven approach to capture and visualize ontology evolution by semi-automatically extending small seed ontologies. This process captures ontology changes reflected in large document collections. The visualization of these changes helps characterize the evolution process, and distinguish core, extended and peripheral relations between concepts.
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Weichselbraun, A., Scharl, A., Liu, W., Wohlgenannt, G. (2007). Capturing Ontology Evolution Processes by Repeated Sampling of Large Document Collections. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops. OTM 2007. Lecture Notes in Computer Science, vol 4805. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76888-3_12
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DOI: https://doi.org/10.1007/978-3-540-76888-3_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76887-6
Online ISBN: 978-3-540-76888-3
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