Concepts for a Graphical User Interface for Hypermedia Retrieval

  • Mounia Lalmas
  • Thomas Rölleke
  • Frank Turra
  • Norbert Fuhr
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 7)


Which concepts are general and specific enough to support hypermedia retrieval? We present in this paper a graphical user interface that makes explicit the following three key concepts for hypermedia retrieval: content of documents, facts about documents and structure of documents. The underlying model is based on a probabilistic object-oriented logic (POOL) that enables content-based querying, fact-based querying, and the exploitation of the structural nature of hypermedia documents. In this paper, we focus on the graphical user interface which reflects the expressiveness of POOL for querying hypermedia documents. We report on the application of the system using a heterogeneous collection of hypermedia documents.


Graphical User Interface Retrieval Result Query Formulation Vague Predicate Multimedia Information Retrieval 
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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  1. 1.
    Y. Chiaramella. Browsing and querying: Two complementary approaches for multimedia information retrieval. In Hypertext — Information Retrieval — Multimedia (HIM), pages 9–26. 1997.Google Scholar
  2. 2.
    Y. Chiaramella and M. Mechkour. Indexing an image test collection. Technical report, FERMI Deliverable 10, ESPRIT BRA 8134, 1997.Google Scholar
  3. 3.
    R Fagin, J.Y. Halpern, Y. Moses, and M.Y. Vardi. Reasoning about Knowledge. MIT Press, 1995.Google Scholar
  4. 4.
    M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker. Query by Image and Video Content: The QBIC System. In Intelligent Multimedia Information Retrieval, pages 23–31. 1997.Google Scholar
  5. 5.
    P. Fraternal and P. Paolini. A conceptual model and a tool environment for developing more scalable, dynamic, and customizable web applications. In Proceedings of EDBT, pages 421–435, 1998.Google Scholar
  6. 6.
    N. Fuhr. Probabilistic datalog–a logic for powerful retrieval methods. In Proceedings of SIGIR, pages 282–290, 1995.Google Scholar
  7. 7.
    D.M. Levy and C.C. Marshall. Going digital: A look at assumptions underlying digital libraries. Communications of the ACM, 38 (4): 77–84, 1995.CrossRefGoogle Scholar
  8. 8.
    E. Megalou, T. Hadzilacos, and N. Mamoulis. Conceptual title abstractions: Modeling and querying very large interactive multimedia repositories. In Multimedia Modeling — Towards the Information Superhighway, pages 323–338, 1996.Google Scholar
  9. 9.
    C. Meghini, F. Sebastiani, U. Straccia, and C. Thanos. A model of information retrieval based on a terminological logic. In Proceedings of SIGIR, pages 298308, 1993.Google Scholar
  10. 10.
    C. Meghini and U. Straccia. A relevance terminological logic for information retrieval. In Proceedings of SIGIR, pages 197–205, 1996.Google Scholar
  11. 11.
    W. Newman and M. Lamming. Interactive System Design. Addison-Wesley, 1995.Google Scholar
  12. 12.
    T. Rölleke. POOL: Probabilistic Object-Oriented Logical Representation and Retrieval of Complex Objects - A Model for Hypermedia Retrieval. Shaker Verlag, 1999. Phd Thesis.Google Scholar
  13. 13.
    T Rölleke and N. Fuhr. Querying for facts and content in hypermedia documents. In Proceedings of FQAS, pages 294–302, 1998.Google Scholar
  14. 14.
    F. Turra. Interaktive logische anfrageformulierung für hypermedia-retrieval. Diploma thesis, Universität Dortmund, 1998.Google Scholar
  15. 15.
    C. J. van Rijsbergen. Information Retrieval. Butterworths, London, 2. edition, 1979.Google Scholar
  16. 16.
    M. Zloof. Query by Example. AFIPS, 44, 1975.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Mounia Lalmas
    • 1
  • Thomas Rölleke
    • 2
  • Frank Turra
    • 3
  • Norbert Fuhr
    • 2
  1. 1.Queen Mary & Westfield CollegeLondonEngland
  2. 2.University of DortmundGermany
  3. 3.PRO-DVDortmundGermany

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