KEYNET: Fast indexing for semantically rich information retrieval
Kenneth Baclawski and
J. Elliott Smith
College of Computer Science
Boston, Massachusetts 02115
FAX: (617) 373-5121
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.