The FedLemur project: Federated search in the real world

  • Authors:
  • Thi Truong Avrahami;Lawrence Yau;Luo Si;Jamie Callan

  • Affiliations:
  • Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213-8213;Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213-8213;Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213-8213;Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213-8213

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2006

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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.” © 2006 Wiley Periodicals, Inc.