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Thesis Overview

  This thesis proposes that:
  1. Our hybrid-search system should provide more efficient query mechanisms than hybrid-search emulation on any one of the other tools independently.
  2. Our system should demonstrate an efficient mechanism for storing the semi-structured information used in our system.
  3. The system should demonstrate an efficient mechanism for extracting this information.

The next chapter (Chapter gif) reviews previous efforts and gives a general overview the technologies used in this thesis. Chapter gif describes a model for documents and why we believe hybrid-search will work well in this domain. Chapter gif covers the implementation of the Haystack data structures. The Haystack data structures will provide us with the means of modeling the document structure. The service model provides the tools for converting documents into the Haystack data model structures. Chapter gif details the Haystack to Lore interface, an essential component of the hybrid-search implementation. Finally, Chapter gif discusses some conclusions and describes some future directions for Haystack. Appendix gif discusses in great detail the design of the revised service model included in the new release of Haystack.



Copyright 1998, Eytan Adar (eytan@alum.mit.edu)