Information retrieval by constrained spreading activation in semantic networks

• Published in: Information processing & management Vol. 23; no. 4; pp. 255 - 268
• Main Authors: Cohen, Paul R., Kjeldsen, Rick
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 1987; Elsevier Science; Pergamon Press; Elsevier Science Ltd
• Subjects: Architecture; Computerised information retrieval; Computerized information storage and retrieval; Education; Endorsements; Exact sciences and technology; Expert systems; GRANT; Grants; Information and communication sciences; Information processing and retrieval; Information retrieval; Information retrieval systems. Information and document management system; Information science. Documentation; Information storage and retrieval; Information work; Miscellaneous; Online information retrieval; Sciences and techniques of general use; Searches; Searching; Semantics; Subject indexing; Technical services; Design; Information retrieval; Research worker; Knowledge base; Artificial intelligence; Expert system
• ISSN: 0306-4573; 1873-5371
• DOI: 10.1016/0306-4573(87)90017-3

GRANT is an expert system for finding sources of funding given research proposals. Its search method-constrained spreading activation—makes inferences about the goals of the user and thus finds information that the user did not explicitly request but that is likely to be useful. The architecture of GRANT and the implementation of constrained spreading activation are described, and grant's performance is evaluated.