Database Selection in Distributed Information Retrieval : AStudy of Multi-Collection Information RetrievalA

@inproceedings{Brown2001DatabaseSI,
  title={Database Selection in Distributed Information Retrieval : AStudy of Multi-Collection Information RetrievalA},
  author={John L. Pfaltz Anita K. JonesDonald E. Brown},
  year={2001}
}
The proliferation of online information resources increases the importance of e ective and e cient information retrieval in a multi-collection environment. Multi-collection searching includes distributed searching as a special case but is more broadly de ned here to incorporate searching partitioned content independently from its physical storage. It is cast in three parts: collection selection (also referred to as database selection) { decide where should a query be sent; query processing… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 117 references

Determining Stopping Criteria in the Generation of Web-Derived Language Models

  • Gary A. Monroe, David R. Mikesell, James C. French
  • Technical Report CS-2000-30,
  • 2000

Investigating Language Models of Web Databases Generated Using Query-Based Sampling Techniques. Master's project report

  • Gary A. Monroe
  • Department of Computer Science, University of…
  • 2000

Similar Papers

Loading similar papers…