BINGO! and Daffodil: Personalized Exploration of Digital Libraries and Web Sources

  • Citation-Key:
    Theobald/Klas:04
  • Title:
    BINGO! and Daffodil: Personalized Exploration of Digital Libraries and Web Sources
  • Author(s):
    M. Theobald
    C.-P. Klas
  • In:
    • Citation-Key:
      RIAO:04
    • Title:
      In 7th International Conference on Computer-Assisted Information Retrieval (RIAO 2004)
    • Publisher:
      Test
    • In:
      In 7th International Conference on Computer-Assisted Information Retrieval (RIAO 2004)
    • Year:
      2004
  • Year:
    2004

Abstract:


Daffodil is a digital library system targeted at strategic support of advanced users during the information search process. It provides user-customizable "stratagems" for exploring and managing digital library objects with meta data annotations over a federation of heterogeneous digital libraries. Bingo! is a focused crawler that learns how to gather thematically relevant documents from the Web and Deep-Web sources. This paper presents a coupling architecture for Daffodil and Bingo that allows advanced users to explore digital libraries and Web sources in a comprehensive and coherent way. Starting from a user's interest profile in Daffodil, Bingo! is instructed to find thematically similar documents on the Web, leading to high-quality recommendations that reach beyond the information that can be directly found in digital libraries. Our experimental studies demonstrate that this coupling does indeed lead to a powerful tool suite that improves the precision and recall compared to conventional library and Web search mechanisms.

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