Automatic documentation systems which use the words contained in the individual documents as a principal source of document identifications may not perform satisfactorily under all circumstances. Methods have therefore been devised within the last few years for computing association measures between words and between documents, and for using such associated words, or information contained in associated documents, to supplement and refine the original document identifications. I t is suggested in this study that bibliographic citations may provide a simple means for obtaining associated documents to be incorporated in an automatic documentation system. The standard associative retrieval techniques are first briefly reviewed. A computer experiment is then described which tends to confirm the hypothesis that documents exhibiting similar citation sets also deal with similar subject matter. Finally, a fully automatic document retrieval system is proposed which uses bibliographic information in addition to other standard criteria for the identification of document content, and for the detection of relevant information.
[1]
H. Edmund Stiles,et al.
The Association Factor in Information Retrieval
,
1961,
JACM.
[2]
J. Westbrook.
Identifying Significant Research.
,
1960,
Science.
[3]
Lauren B. Doyle,et al.
Indexing and abstracting by association
,
1962
.
[4]
E. Garfield,et al.
Citation indexes for science.
,
1956,
Science.
[5]
Sundaram Seshu,et al.
The Theory of Nets
,
1957,
IRE Trans. Electron. Comput..
[6]
Gerard Salton,et al.
Some experiments in the generation of word and document associations
,
1899,
AFIPS '62 (Fall).
[7]
M. M. Kessler.
Technical information flow patterns
,
1961,
IRE-AIEE-ACM '61 (Western).
[8]
J. Spiegel,et al.
STATISTICAL ASSOCIATION PROCEDURES FOR MESSAGE CONTENT ANALYSIS
,
1963
.