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Using Structural Representations of Anomalous States of Knowledge for Choosing Document Retrieval Strategies.

Nicholas J. Belkin, Barbara H. Kwasnik: Using Structural Representations of Anomalous States of Knowledge for Choosing Document Retrieval Strategies. SIGIR 1986: 11-22
@inproceedings{DBLP:conf/sigir/BelkinK86,
  author    = {Nicholas J. Belkin and
               Barbara H. Kwasnik},
  title     = {Using Structural Representations of Anomalous States of Knowledge
               for Choosing Document Retrieval Strategies},
  booktitle = {SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval,
                Pisa, Italy, September 8-10, 1986},
  publisher = {ACM},
  year      = {1986},
  pages     = {11-22},
  ee        = {db/conf/sigir/BelkinK86.html},
  crossref  = {DBLP:conf/sigir/86},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

We report on a project which attempts to classify representations of the anomalous states of knowledge (ASKs) of users of document retrieval systems on the basis of structural characteristics of the representations, and which specifies different retrieval strategies and ranking mechanisms for each ASK class. The classification and retrieval strategy specification is based on 53 real problem statements, 35 of which have a total of 250 evaluated documents. Four facets of the ASK structures have been tentatively identified, whose combinations determine the method and order of application of five basic ranking strategies. This work is still in progress, so results presented here are incomplete.

Copyright © 1986 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Italy, September 8-10, 1986. ACM 1986
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