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Please use this identifier to cite or link to this item: http://hdl.handle.net/2081/680

Title: Inference Nets for Modeling Geoscience Reference Knowledge / Julie Hallmark Bichteler
Authors: Hallmark, Julie
Slocum, Jonathan
Amsler, Robert
Keywords: Inference Nets
Automated Information Retrieval
Reference Services
Issue Date: 1980
Publisher: American Society of Information Science http://www.asis.org/
Citation: Inference Nets for Modeling Geoscience Reference Knowledge (with Jonathan Slocum and Robert Amsler). 1980. Communicating Information: Proceedings of the 43rd ASIS Annual Meeting 17,183-185.
Series/Report no.: Published Papers;A-1980-031
Abstract: Inference nets are an attractive methodology for modeling the reasoning of an information specialist in proceeding from a negotiated reference query to a source likely to contain the answer. The model consists of a network of weighted decision rules, with one rule for each possible hypothesis that a cue may evoke, and has the distinct advantage of operating on less than complete or "perfect" information at each stage in the reasoning process. By combining evidence to confirm or reject hypotheses, the model interpreter asks appropriate follow-up questions which lead to a probable reference source. We illustrate the inference net model with an actual query and annotated search strategy from a geoscience information specialist.
URI: http://hdl.handle.net/123456789/680
Appears in Collections:Julie Hallmark Publications

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