Customizable Retrieval Functions Based on User Tasks in the Cultural Heritage Domain

  • Holger Brocks
  • Ulrich Thiel
  • Adelheit Stein
  • Andrea Dirsch-Weigand
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2163)


The cultural heritage domain dealing with digital surrogates of rare and fragile historic artifacts is one of the most promising areas for establishing collaboratories, i.e. shared virtual working environments for groups of users. However, in order to be considered a useful tool, such a system must reflect and support the specific tasks which are typical for the domain. The system design presented here takes into account a variety of activities, e.g., source analysis, which are supported by a task-specific selection of appropriate retrieval functions, e.g., access to OCR results and annotations. The tasks are explicitly modeled, thus the corresponding user interfaces can be automatically generated.


Cultural Heritage Collaboratory Task-based Retrieval 


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  1. 1.
    Kouzes, R.T.; Myers, J.D. & Wulf, W.A. (1996). Collaboratories: Doing science on the Internet. In: IEEE Computer, Vol. 29,No. 8, August 1996.Google Scholar
  2. 2.
    Wulf, W. A. (1989). The National Collaboratory — A White Paper. In: Towards a National Collaboratory. Unpublished report of a workshop held at Rockefeller University, March 17–18, 1989 (co-chaired by J. Lederberg and K. Uncapher).Google Scholar
  3. 3.
    Zarri, G.P.; Bertino, E.; Black, B.; Brasher, A.; Catania, B.; Deavin, D.; Di Pace, L.; Esposito, F.; Leo, P.; McNaught, J.; Persidis, A.; Rinaldi, F. & Semeraro, G. (1999). CONCERTO, An Environment for the “Intelligent” Indexing, Querying and Retrieval of Digital Documents. In LNAI 1609: Foundations of Intelligent Systems, Proceedings of the 11th Int. Symp. ISMIS’99, pp. 226–234, Warsaw, Poland, June 1999.Google Scholar
  4. 4.
    Semeraro, G., Ferilli, S., Fanizzi, N. & Esposito, F. (2001). Document Classification and Interpretation through the Inference of Logic-based Models. This volume.Google Scholar
  5. 5.
    Stein, A., Gulla, J.A., Müller, A. & Thiel, U. (1998). Abductive dialogue planning for concept-based multimedia information retrieval. In: Fankhauser, P. & Ockenfeld, M. (Eds.), Integrated Publication and Information Systems. 10 Years of Research and Development (pp. 129–148). Sankt Augustin: GMD — Forschungszentrum Informationstechnik.Google Scholar
  6. 6.
    Thiel, U., Everts, A., Lutes, B. & Tzeras, K. (1998). A logic-based approach to search in digital libraries. In: Fankhauser, P. & Ockenfeld, M. (Eds.), Integrated Publication and Information Systems. 10 Years of Research and Development (pp. 169–186). Sankt Augustin: GMD — Forschungszentrum Informationstechnik.Google Scholar
  7. 7.
    Gulla, J.A, Vos, A.J. & Thiel, U. (1997): An Abductive, Linguistic Approach to Model Retrieval. Data and Knowledge Engineering, 23(1): 17–31.zbMATHCrossRefGoogle Scholar
  8. 8.
    Hollfelder, S.; Everts, A. & Thiel, U. (2000). Designing for Semantic Access: A Video Browsing System. Multimedia Tools and Applications, 11(3): 281–293.zbMATHCrossRefGoogle Scholar
  9. 9.
    Van Welie, M.; van der Veer, G.C. & Eliens, A. (1999). Breaking down Usability. In Proceedings of Interact 99, pp. 613–620, Aug 30–Sep 3 1999, Edinburgh, Scotland.Google Scholar
  10. 10.
    Stein, Adelheit; Gulla, Jon Atle & Thiel, Ulrich (1999). User-Tailored Planning of Mixed Initiative Information-Seeking Dialogues. User Modeling and User-Adapted Interaction, 1999, 9(1–2): 133–166.CrossRefGoogle Scholar
  11. 11.
    Belkin, Nicholas J.; Cool, Colleen; Stein, Adelheit & Thiel, Ulrich (1995). Cases, Scripts and Information Seeking Strategies: On the Design of Interactive Information Retrieval Systems. Expert Systems and Applications, 9(3): 379–395.CrossRefGoogle Scholar
  12. 12.
    Fox, E. A. (1987): Development of the CODER System: A Testbed for Artificial Intelligence Methods in Information Retrieval. Information Processing & Management 23(4). 341–366.CrossRefGoogle Scholar
  13. 13.
    Pollitt, S: (1987): CANSEARCH: An expert system approach to document retrieval. Information Processing & Management 23(2): 119–138.CrossRefGoogle Scholar
  14. 14.
    Bomsdorf, B. & Szwillus, G (1999). From Task to Dialogue Modelling Based on a Tool-Supported Framework. In CHI’99 Workshop “Tool Support for Task-Based User Interface Design”, May 15–20 1999, Pittsburgh/PA, USA.Google Scholar
  15. 15.
    Da Silva, P.P. (2000). User Interface Declarative Models and Development Environments: A Survey. In 7th International Workshop on Design, Specification and Verification of Interactive Systems (DSV-IS2000), June 2000, Limerick, Ireland.Google Scholar
  16. 16.
    Sonnenberger, G. & Frei, H.P. (1995). Design of reusable IR framework. Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, 1995, Pages 49–57.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Holger Brocks
    • 1
  • Ulrich Thiel
    • 1
  • Adelheit Stein
    • 1
  • Andrea Dirsch-Weigand
    • 1
  1. 1.German National Research Center for Information Technology, Integrated Publication and Information Systems InstituteGMD-IPSIDarmstadt

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