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Revising Faceted Taxonomies and CTCA Expressions

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Advances in Artificial Intelligence (SETN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3955))

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Abstract

A faceted taxonomy is a set of taxonomies each describing the application domain from a different (preferably orthogonal) point of view. CTCA is an algebra that allows specifying the set of meaningful compound terms (meaningful conjunctions of terms) over a faceted taxonomy in a flexible and efficient manner. However, taxonomy updates may turn a CTCA expression e ill-formed and may turn the compound terms specified by e to no longer reflect the domain knowledge originally expressed in e. This paper shows how we can revise e after a taxonomy update and reach an expression e′ that is both well-formed and whose semantics (compound terms defined) is as close as possible to the semantics of the original expression e before the update.

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References

  1. Tzitzikas, Y.: Updates and Revision in Faceted Taxonomies and CTCA Expressions. Technical Report 2005-11-18, TR 364, Institute of Computer Science-FORTH (November 2005)

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  2. Tzitzikas, Y., Launonen, R., Hakkarainen, M., Korhonen, P., Leppänen, T., Simpanen, E., Törnroos, H., Uusitalo, P., Vänskä, P.: FASTAXON: A system for FAST (and faceted) tAXONomy design. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, T.-W. (eds.) ER 2004. LNCS, vol. 3288, pp. 841–843. Springer, Heidelberg (2004)

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  3. Tzitzikas, Y., Analyti, A., Spyratos, N.: Compound Term Composition Algebra: The Semantics. LNCS Journal on Data Semantics 2, 58–84 (2005)

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© 2006 Springer-Verlag Berlin Heidelberg

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Tzitzikas, Y. (2006). Revising Faceted Taxonomies and CTCA Expressions. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_78

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  • DOI: https://doi.org/10.1007/11752912_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34117-8

  • Online ISBN: 978-3-540-34118-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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