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The FedLemur project: Federated search in the real world

Author

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  • Thi Truong Avrahami
  • Lawrence Yau
  • Luo Si
  • Jamie Callan

Abstract

Federated search and distributed information retrieval systems provide a single user interface for searching multiple full‐text search engines. They have been an active area of research for more than a decade, but in spite of their success as a research topic, they are still rare in operational environments. This article discusses a prototype federated search system developed for the U.S. government's FedStats Web portal, and the issues addressed in adapting research solutions to this operational environment. A series of experiments explore how well prior research results, parameter settings, and heuristics apply in the FedStats environment. The article concludes with a set of lessons learned from this technology transfer effort, including observations about search engine quality in the “real world.”

Suggested Citation

  • Thi Truong Avrahami & Lawrence Yau & Luo Si & Jamie Callan, 2006. "The FedLemur project: Federated search in the real world," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 347-358, February.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:3:p:347-358
    DOI: 10.1002/asi.20283
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    Cited by:

    1. Kartik Hosanagar, 2011. "Usercentric Operational Decision Making in Distributed Information Retrieval," Information Systems Research, INFORMS, vol. 22(4), pages 739-755, December.
    2. Paul Thomas, 2012. "To what problem is distributed information retrieval the solution?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1471-1476, July.
    3. Aaron W. Baur, 0. "Harnessing the social web to enhance insights into people’s opinions in business, government and public administration," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    4. Aaron W. Baur, 2017. "Harnessing the social web to enhance insights into people’s opinions in business, government and public administration," Information Systems Frontiers, Springer, vol. 19(2), pages 231-251, April.

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