Skip to main content

Mining the Meaningful Compound Terms from Materialized Faceted Taxonomies

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3291))

Abstract

A materialized faceted taxonomy is an information source where the objects of interest are indexed according to a faceted taxonomy. This paper shows how from a materialized faceted taxonomy, we can mine an expression of the Compound Term Composition Algebra that specifies exactly those compound terms that have non-empty interpretation. The mined expressions can be used for encoding compactly (and subsequently reusing) the domain knowledge that is stored in existing materialized faceted taxonomies. Furthermore, expression mining is very crucial for reorganizing taxonomy-based sources which were not initially designed according to a clear faceted approach (like the directories of Google and Yahoo!), so as to have a semantically clear, and compact faceted structure. We analyze this problem and we give an analytical description of all algorithms needed for expression mining.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. XFML: eXchangeable Faceted Metadata Language, http://www.xfml.org

  2. XFML+CAMEL:Compound term composition Algebraically-Motivated Expression Language, http://www.csi.forth.gr/markup/xfml+camel

  3. Clark, P., Thompson, J., Holmback, H., Duncan, L.: Exploiting a Thesaurus-based Semantic Net for Knowledge-based Search. In: Procs of 12th Conf. on Innovative Applications of AI (AAAI/IAAI 2000), pp. 988–995 (2000)

    Google Scholar 

  4. Donini, F.M., Lenzerini, M., Nardi, D., Schaerf, A.: Reasoning in Description Logics. In: Brewka, G. (ed.) Principles of Knowledge Representation. ch. 1, pp. 191–236. CSLI Publications, Stanford (1996)

    Google Scholar 

  5. Duncan, E.B.: A Faceted Approach to Hypertext. In: McAleese, R. (ed.) HYPERTEXT: theory into practice, BSP, pp. 157–163 (1989)

    Google Scholar 

  6. Lindsay, P.H., Norman, D.A.: Human Information Processing. Academic Press, London (1977)

    Google Scholar 

  7. Maple, A.: Faceted Access: A Review of the Literature (1995), http://theme.music.indiana.edu/tech_s/mla/facacc.rev

  8. Prieto-Diaz, R.: Classification of Reusable Modules. In: Software Reusability. ch. 4, vol. I, pp. 99–123. ACM Press, New York (1989)

    Google Scholar 

  9. Prieto-Diaz, R.: Implementing Faceted Classification for Software Reuse. Communications of the ACM 34(5), 88–97 (1991)

    Article  Google Scholar 

  10. Priss, U., Jacob, E.: Utilizing Faceted Structures for Information Systems Design. In: Proceedings of the ASIS Annual Conf. on Knowledge: Creation, Organization, and Use (ASIS (October 1999)

    Google Scholar 

  11. Ranganathan, S.R.: The Colon Classification. In: Artandi, S. (ed.). The Rutgers Series on Systems for the Intellectual Organization of Information, vol. IV, Graduate School of Library Science, Rutgers University, New Brunswick (1965)

    Google Scholar 

  12. Spyratos, N., Tzitzikas, Y., Christophides, V.: On Personalizing the Catalogs of Web Portals. In: 15th International FLAIRS Conference, FLAIRS 2002, Pensacola, Florida, May 2002, pp. 430–434 (2002)

    Google Scholar 

  13. Tzitzikas, Y.: An Algebraic Method for Compressing Very Large Symbolic Data Tables. In: Procs. of the Workshop on Symbolic and Spatial Data Analysis of ECML/PKDD 2004, Pisa, Italy (September 2004)

    Google Scholar 

  14. Tzitzikas, Y., Analyti, A., Spyratos, N.: The Semantics of the Compound Terms Composition Algebra. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS, vol. 2888, pp. 970–985. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  15. Tzitzikas, Y., Analyti, A., Spyratos, N., Constantopoulos, P.: An Algebraic Approach for Specifying Compound Terms in Faceted Taxonomies. In: Information Modelling and Knowledge Bases XV, 13th European-Japanese Conference on Information Modelling and Knowledge Bases, EJC 2003, pp. 67–87. IOS Press, Amsterdam (2004)

    Google Scholar 

  16. Tzitzikas, Y., Launonen, R., Hakkarainen, M., Kohonen, P., Leppanen, T., Simpanen, E., Tornroos, H., Uusitalo, P., Vanska, 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); an on-line demo is available at http://fastaxon.erve.vtt.fi/

    Chapter  Google Scholar 

  17. Tzitzikas, Y., Meghini, C.: Ostensive Automatic Schema Mapping for Taxonomy-based Peer-to-Peer Systems. In: Klusch, M., Omicini, A., Ossowski, S., Laamanen, H. (eds.) CIA 2003. LNCS (LNAI), vol. 2782, pp. 78–92. Springer, Heidelberg (2003) (Best Paper Award)

    Chapter  Google Scholar 

  18. Tzitzikas, Y., Meghini, C.: Query Evaluation in Peer-to-Peer Networks of Taxonomy-based Sources. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS, vol. 2888, pp. 263–281. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  19. Vickery, B.C.: Knowledge Representation: A Brief Review. Journal of Documentation 42(3), 145–159 (1986)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tzitzikas, Y., Analyti, A. (2004). Mining the Meaningful Compound Terms from Materialized Faceted Taxonomies. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE. OTM 2004. Lecture Notes in Computer Science, vol 3291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11341154_4

Download citation

  • DOI: https://doi.org/10.1007/11341154_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23662-7

  • Online ISBN: 978-3-540-30469-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics