Using structural representation of anomalous states of knowledge for choosing document retrieval strategies

Authors:
N. J. Belkin;B. H. Kwaśnik
Affiliations:
School of Communication, Information and Library Studies, Rutgera University, New Brunewick, N.J.;School of Communication, Information and Library Studies, Rutgera University, New Brunewick, N.J.
Venue:
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
1986

Citing 2
Cited 8

The use of adaptive mechanisms for selection of search strategies in document retrieval systems

Proc. of the third joint BCS and ACM symposium on Research and development in information retrieval
Using discourse analysis for the design of information retrieval interaction mechanisms

SIGIR '83 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval

A transient hypergraph-based model for data access

ACM Transactions on Information Systems (TOIS)
Integrating query thesaurus, and documents through a common visual representation

SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
The effect multiple query representations on information retrieval system performance

SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The relationship between ASK and relevance criteria

SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Concept maps to support oral history search and use

Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Relationships between categories of relevance criteria and stage in task completion

Information Processing and Management: an International Journal
Contextual multi-dimensional browsing

Computers in Human Behavior
On the potential search effectiveness of MeSH (medical subject headings) terms

Proceedings of the third symposium on Information interaction in context

Quantified Score

Hi-index	0.01

Visualization

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.