Although a large part of a document retrieval system's resources are devoted to indexing, the question of how people do subject indexing has been the subject of much conjecture and only a little experimentation. This dissertation examines the relationships between a document being indexed and the index terms assigned to that document in an attempt…

The concept of tri-citation is introduced, as a logical extension of co-citation, and a geometrical model (the circle) is devised to account for these and all other forms of multiple citation. (Author)

These two indexing systems are briefly described and experimental evidence is cited showing that a combination of both theories produces better retrieval performance than either one alone. Appropriate conclusions are reached concerning viable automatic indexing procedures usable in practice. (Author)

This study proposed to develop techniques and procedures for the indexing, storing, and retrieving music education document information in a computer-assisted information retrieval system. (Authors)

A model which relates the access control and indexing functions. The model is based on concept protection which allows a practically unbounded number of levels (subsets) of protection without requiring a fixed hierarchy among the levels. This protection is offered independently for each of the user operations allowed. (Author)

In a document retrieval, or other pattern matching environment where stored entities (documents) are compared with each other, or with incoming patterns (search requests), it appears that the best indexing (property) space is one where each entity lies as far away from the others as possible; that is, retrieval performance correlates inversely…

Most existing automatic content analysis and indexing techniques are based on work frequency characteristics applied largely in an ad hoc manner. Contradictory requirements arise in this connection, in that terms exhibiting high occurrence frequencies in individual documents are often useful for high recall performance (to retrieve many relevant…

Proposes an automated document classification system based on the Gray code, information-theoretic considerations, and requirements of classification systems including objectivity, inclusion, linearity, and increasing distance-dissimilarity. A measure to evaluate system performance is developed, and the proposed system is compared with the Library…

Presents a statistical model for predicting the performance of an automated keywording system on each document it keywords. Methods of text analysis are described, including statistical methods, discriminant analysis, linguistic approaches, and artificial intelligence; performance measures are discussed; and regression models are explained. (16…

The Latent Semantic Indexing and MatchPlus systems examine similar contexts in which words appear and create representational models that capture the similarity of meaning of terms and then use the representation for retrieval. Text Retrieval Conference experiments using these systems demonstrate the computational feasibility of using…

Describes the development of a software system, SIMPR (Structured Information Management: Processing and Retrieval), that will process documents by indexing them and classifying their subjects. Topics discussed include information storage and retrieval, file inversion techniques, modelling the user, natural language searching, automatic indexing,…

Describes the Belief Function Model for automatic indexing and ranking of documents which is based on a controlled vocabulary and on term frequencies in each document. Belief Function Theory is explained, and the Belief Function Model is compared to the Standard Vector Space Model. (17 references) (LRW)

Two versions of this Preserved Context Indexing System (PRECIS)/school library materials project, funded by the Ontario Ministry of Education, are presented: a narrative report and a technical report. Designed for interested readers who are not familiar with information science terminology, the narrative report summarizes the development of this…

Describes the mechanistic model of language on which automatic indexing is based, and examines the underlying assumptions of the model to demonstrate the ineffectiveness of this indexing. It is argued that theoretical research from the fields of linguistics, psychology, and philosophy need to be incorporated into automatic indexing to overcome…

Presents a method of modeling the relevance relationship in information retrieval to answer the question of the theoretical limits of certain statistical methods. Hypergeometric probability distribution is used to construct an abstract model of a database of MEDLINE records, and results of tests of vector retrieval methods are reported. (28…