MONO91 NIST Monograph 91: Automatic Indexing: A State-of-the-Art Report Other Potentially Related Research chapter Mary Elizabeth Stevens National Bureau of Standards a posteriori associations are at least foreshadowed in a small-scale model of attribute- words and proper names, together with prespecified relationships between them; 1/ in Olney's recent work at SDC exploring the possibilities for use of cognitive concepts as bases for establishing association between documents, 2/and by Kochen1s work on machine' inference and concept processing 3/ A final example of potentially related research in the area of content analysis is therefore the work of Kochen, Abraham, Wong and others at IBM's Thomas J. Watson Laboratories (1962 [329]). While concerned principally with adaptive organization and processing of stored factual statements and the possibilities for machine formulation of 11hypotheses" about these and additional facts, some consideration has been given to sampling procedures applicable to determination of similarity which might be used for document clustering and to the possibilities for dynamic clustering for retrieval based upon a specific individual query. 4/ In the proposed AMNIP (Adaptive Man-machine Non- Arithmetical Information Processing) system,, there is no attempt at either automatic indexing or automatic abstracting. 5/ Instead, formal statements are made about named 1'things" and their attributes. The sharing of common attributes then serves as a basis for relating items which are similar and for grouping them together in the system memory. It is assumed that the organization of the stored statements changes dynami- cally with new data inputs and user feedback in question-answering routines. Where the named items are names of documents or of index terms, a number of documentation applications can be considered. Where the items are document names and the formal predicate is "cites'1, the system provides a procedure for production and use of citation indexes. 6/ Where the items are index terms or subject headings and the predicates are "i5 used synonymously with" or "is subsumed under'1, machine construction of a growing thesaurus based on use is suggested. 1/ The common attribute 1/ 2/ See Stevens, 1960 [568]; see also Herner, 1962 [266], p. 5. See Borko, 1962 [75], p. 5: "Instead of defining meaning in terms of synonyms... it is defined in terms of the entities referred to by the word in context. A chair is thus described as belonging to a class defined by a given list of properties. Analysis yields an interpretation of the sentence as an assertion that certain relationships hold between the specified referent classes. The cognitive content of the sentence is a function of this assertion plus the information about these referent classes which has previously been stored in memory." 3/ 4/ 5/ 6/ 7/ Kochen et al, 1962 [329] Ibid, Appendix by C. T. Abraham, pp. 20-65. Kochen et al, 1962 [328], p. 45. Ibid, p. 37. Ibid, p. 37. 139