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Extended Faceted Ontologies

  • Yannis Tzitzikas
  • Nicolas Spyratos
  • Panos Constantopoulos
  • Anastasia Analyti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2348)

Abstract

A faceted ontology consists of a set of facets, where each facet consists of a predefined set of terms structured by a subsumption relation. We propose two extensions of faceted ontologies, which allow inferring conjunctions of terms that are valid in the underlying domain. We give a model-theoretic interpretation to these extended faceted ontologies and we provide mechanisms for inferring the valid conjunctions of terms. This inference service can be exploited for preventing errors during the indexing process and for deriving navigation trees that are suitable for browsing. The proposed scheme has several advantages by comparison to the hierarchical classification schemes that are currently used, namely: conceptual clarity: it is easier to understand, compactness: it takes less space, and scalability: the update operations can be formulated easier and be performed more efficiently.

Keywords

Classi Cation Conceptual Clarity Valid Description Closed World Assumption Ontology Location 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Amanda Maple. ”Faceted Access: A Review of the Literature”, 1995. http://theme.music.indiana.edu/tech_s/mla/facacc.rev.
  2. 2.
    Ruben Prieto-Diaz. “Implementing Faceted Classification for Software Reuse”. Communications of the ACM, 34(5), 1991.Google Scholar
  3. 3.
    S. R. Ranganathan. “The Colon Classification”. In Susan Artandi, editor, Vol IV of the Rutgers Series on Systems for the Intellectual Organization of Information. New Brunswick, NJ: Graduate School of Library Science, Rutgers University, 1965.Google Scholar
  4. 4.
    International Organization For Standardization. “Documentation-Guidelines for the establishment and development of monolingual thesauri”, 1988. Ref. No ISO 2788-1986.Google Scholar
  5. 5.
    J. H. Sugarman. “The development of a classification system for information storage and retrieval purposes based upon a model of scientific knowledge generation”. PhD thesis, School of Education, Boston University, 1981.Google Scholar
  6. 6.
    Yannis Tzitzikas, Nicolas Spyratos, and Panos Constantopoulos. “Deriving Valid Expressions from Ontology Definitions”. In 11th European-Japanese Conference on Information Modelling and Knowledge Bases, Maribor, Slovenia, May 2001.Google Scholar
  7. 7.
    Yannis Tzitzikas, Nicolas Spyratos, and Panos Constantopoulos. “Faceted Ontologies for Web Portals”. Technical Report TR-293, Institute of Computer Science-FORTH, October 2001.Google Scholar
  8. 8.
    B. C. Vickery. “Knowledge Representation: A Brief Review”. Journal of Documentation, 42(3):145–159, 1986.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Yannis Tzitzikas
    • 1
    • 2
  • Nicolas Spyratos
    • 3
  • Panos Constantopoulos
    • 1
    • 2
  • Anastasia Analyti
    • 2
  1. 1.Department of Computer ScienceUniversity of CreteGreece
  2. 2.ICS-FORTHInstitute of Computer ScienceUSA
  3. 3.Laboratoire de Recherche en InformatiqueUniversite de Paris-SudFrance

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