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A unified approach to high-performance, vector-based 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:

An information retrieval model based on the vector space model is proposed that unifies and extends many commonly used retrieval mechanisms. A distributed architecture and indexing algorithm for high-performance retrieval using this model has been developed. A prototype system has been built that achieves a throughput of 500 queries per second with a response time of less than one second on an 8-node network of workstations. The model and algorithm are designed for retrieval from a corpus of information objects in a single subject area. The objects need not be textual, and must be annotated with content labels. With current technology, our system can be scaled up to support a corpus of several million information objects. Finally, the model allows for content labels that are semantically more complex than just attributes, keywords and subject classifications.



kenb@ccs.neu.edu
Fri Jan 20 21:43:28 EST 1995