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KEYNET: Fast indexing for semantically rich information retrieval

Kenneth Baclawski and J. Elliott Smith
Northeastern University
College of Computer Science
Boston, Massachusetts 02115
(617) 373-4631
FAX: (617) 373-5121
{kenb,esmith}@ccs.neu.edu

Abstract:

We propose an architecture and index structure for semantically rich information retrieval from a subject-specific collection of documents or other information objects. The technique assumes that information objects have been labeled using small semantic networks called keynets. The index structure is compatible with parallel machine architectures and scales up well, allowing very large collections to be searched very quickly using semantically complex queries.



kenb@ccs.neu.edu
Fri Jan 20 22:04:00 EST 1995