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Capturing Ontology Evolution Processes by Repeated Sampling of Large Document Collections

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4805))

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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References

  1. Gruber, T.R.: Toward principles of the design of ontologies used for knowledge sharing. International Journal of Human and Computer Studies 43, 907–928 (1995)

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  2. Stojanovic, L., Maedche, A., Motik, B., Stojanovic, N.: User-driven ontology evolution management. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 285–300. Springer, Heidelberg (2002)

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  3. Liu, W., Weichselbraun, A., Scharl, A., Chang, E.: Semi-automatic ontology extension using spreading activation. Journal of Universal Knowledge Management (1), 50–58 (2005)

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Robert Meersman Zahir Tari Pilar Herrero

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© 2007 Springer-Verlag Berlin Heidelberg

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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