- 1.Nicholas J. Belkin, Paul Kantor, Edward A. Fox, and J. A. Shaw. Combining the Evidence of Multiple Query Representations for Informa tion Retrieval. Information Processing and Management, 31(4):431-448, 1995. Google ScholarDigital Library
- 2.Chris Buckley. SMART version 11.0, 1992. ftp://ftp.cs, cornell.edu/pub/smart.Google Scholar
- 3.James P. Callan, Zhihong Lu, and W. Bruce Croft. Searching Distributed Collections with Inference Networks. In Proceedings o} the 18th International Conference on Research and Development in Information Retrieval, pages 21-29, Seattle, WA, 1995. Google ScholarDigital Library
- 4.Edward A. Fox, M. Prabhakar Koushik, Joseph Shaw, Russell M odlin, and Durgesh Rao. Combining Evidence from Multiple Searches. in The First Text Retrieval Consterence (TREC-I), pages 319-328, Gaithersburg, MD, November 1992.Google Scholar
- 5.James C. French and Charles L. Viles. Ensuring Retrieval Effectiveness in Distributed Digital Libraries. Journal of Visual Communication and Image Representation, 7(1):61- 73, 1996.Google ScholarCross Ref
- 6.Luis Gravano and Hector Garcia-Molina. Generalizing GLOSS to Vector-Space Databases and Broker Hierarchies. In Proceedings o.( the 21st International Conference on Very Large Databases (VLDB), Zurich, Switzerland, 1995. Google ScholarDigital Library
- 7.Luis Gravano, Hector Garcia-Molina, and Anthony Tomasic. The Effectiveness of GLOSS for the Text Database Discovery Problem. In SIGMOD94, pages 126-137, Minneapolis, MN, May 1994. Google ScholarDigital Library
- 8.Donna Harman. Overview of the Fourth Text Retrieval Conference (TREC-4). In Proceedings of the Fourth Text Retrieval Conference (TREC-4), Gaithersburg, MD, 1996. Google ScholarDigital Library
- 9.Alistair Moffat and Justin Zobel. Information Retrieval Systems for Large Document Collections. In Proceedings of the Third Text Retrieval Conference (TREC-3), pages 85-94, Gaithersburg, MD, 1995.Google Scholar
- 10.Charles L. Viles and James C. French. TREC4 Experiments Using DrUFT. In Proceedings of the Fourth Text Retrieval Conference (TREC-4), Gaithersburg, MD, 1996.Google Scholar
- 11.Charles L. Viles and James C. French. Dissemination of Collection Wide Information in a Distributed Inform ation Retrieval System. In Proceedings of the 18th international Conference on Research and Development in Information Retrieval, pages 12-20, Seattle, WA, July 1995. Google ScholarDigital Library
- 12.Charles L. Viles and James C. French. On the Update of Term Weights in Dynamic information Retrieval Syste ms. In Proceedings of the 4th International Conference on Knowledge and Information Management, pages 167-174, Baltimore, MD, November 1995. Google ScholarDigital Library
- 13.Ellen Vorhees. The TREC-5 Database Merging Track. In Proceedings of the Fifth Text Retrieval Conference (TREC- 5), Gaithersburg, MD, November 1996.Google Scholar
- 14.Ellen Vorhees, Narendra K. Gupta, and Ben Johnson-Laird. Learning CollectionFusion Strategies. In Proceedings of the 18th International Conference on Research and Development in Information Retrieval, pages 172-179, Seattle, WA, 1995. Google ScholarDigital Library
- 15.Ellen Vorhees, Narendra K. Gupta, and Ben Johnson-Laird. The Collection Fusion Problem. In Proceedings of the Third Text Retrieval Conference (TREC-3), pages 95-104, Gaithersburg, MD, 1995.Google Scholar
- 16.Nikolaus Walczuch, Norbert Fuhr, Michael Pollman, and Birgit Sievers. Routing and Ad-hoc Retrieval with the TREC-3 Collection in a Loosely Federated Environment. In The Third Text REtrieval Conference (TREC-3), pages 135-144, Gaithersburg, MD, November 1994.Google Scholar
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