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IBM Systems Journal 
Volume 43, Number 1, 2004
Utility Computing
 Table of contents: arrowHTML arrowPDF   This article: arrowHTML arrowPDF arrowCopyright info
  

How to build a WebFountain: An architecture for very large-scale text analytics - References
by D. Gruhl, L. Chavet, D. Gibson, J. Meyer, P. Pattanayak, A. Tomkins, and J. Zien

Cited references and notes

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  28. D. Gruhl, The Search for Meaning in Large Text Databases, Ph.D. Thesis, Massachusetts Institute of Technology, Cambridge, MA (2000).
  29. User queries may be returned in rank orders that are appropriate for viewing, but long-running queries that are processed to completion are returned in UEID order.
  30. C. Clarke, G. Cormack, and F. Burkowski, “Shortest Substring Ranking (MultiText Experiments for TREC-4),” Proceedings of the Fourth Text Retrieval Conference (November 1995).
  31. S. Chakrabarti, B. Dom, and P. Indyk., “Enhanced Hypertext Classification Using Hyper-Links,” ACM SIGMOD International Conference on Management of Data (1998), pp. 307–318.
  32. K. Bharat, A. Broder, M. Henzinger, P. Kumar, and S. Venkatasubramanian, “The Connectivity Server: Fast Access to Linkage Information on the Web,” Proceedings of the 7th International World Wide Web Conference (April 1998), pp. 14–18.
  33. Simple Object Access Protocol (SOAP) 1.1, W3C, http://www.w3.org/TR/SOAP/.
  34. Web Service Definition Language (WSDL), W3C, http://www.w3.org/TR/wsdl.
  35. Since each node represents less than a half percent of our data, having one or even two down does not materially impact the quality of queries that develop an aggregate statistical understanding over a broad data set.
  36. For information on the particular set of mining and applications, please contact the WebFountain team directly.37
  37. WebFountain Overview, IBM Corporation, Almaden Research Center, http://www.almaden.ibm.com/webfountain.
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