Reports a study that examined 10 collections of mainly scientific subject areas indexed using Farradane's system of relational indexing. It compared (1) the use of relations, (2) the use of concept types, (3) the cross sections (or shape) of abstracts, and (4) the properties of "nodes." Statistical tables and graphs are included.…

Describes a study that analyzed the Medical Subject Headings (MeSH) terms used to index the literature of Acquired Immunodeficiency Syndrome (AIDS). Subject access to the AIDSLINE database developed by the National Library of Medicine (NLM) is examined, and changes in subject headings that reflect the growth of the field are analyzed. (12…

Describes a mechanism by which thesauri can be updated and maintained using citation, co-citation, and citation context analysis. When tested in 26 specialty areas of economics and sociology, the method generated a rich alternative terminology which experts found appropriate for describing those areas, and which compared favorably with Library of…

Empirical significance of document partitions is investigated as a function of index term-weight and similarity thresholds. Results show the same empirically preferred partitions can be detected by two independent strategies: an analysis of cluster-based retrieval analysis and an analysis of regularities in the underlying structure of the document…

Describes the two basic approaches to the calculation of term discrimination values for automatic indexing. The results of an experiment that investigated the differences between algorithms of these two approaches in terms of their impact on the discrimination value model are reported and discussed. (13 references) (Author/CLB)

Describes three criteria for evaluating indexing performances--quality, effectiveness, and consistency. The impracticality of effectiveness measurements and the unreliability of consistency measurements are discussed, and recommendations for assessing indexing quality are made. Two references are provided. (Author/BK)

Describes experiments that compared a new method for automatically analyzing semantic structures in text by statistical means with the standard vector space model. Findings indicate that combining both methods improved performance over either alone. The effects of other experimental variables on retrieval performance (term weighting, suffix…

Describes an investigation of the use of document components, such as terms, sentences, and whole documents, for indexing and retrieval. A number of probabilistic similarity measures based on document components are studied, as well as a new method of handling probability estimations involving small sample sizes. (24 references) (Author/CLB)

Demonstrates efficiency of preparation of query description using semantic analyser method based on analysis of semantic structure of documents in field of automatic indexing. Results obtained are compared with automatic indexing results performed by traditional methods and results of indexing done by human indexers. Sample terms and codes are…

Describes three models for probabilistic indexing, all based on the Darmstadt automatic indexing approach, and presents experimental evaluation results for each. The discussion covers the improved retrieval effectiveness of probabilistic indexing over binary indexing, and suggestions for using this automatic indexing method with free text terms.…

Describes study that compared and judged the quality of subject indexing in online bibliographic databases. Documents from medical behavioral science literature are used with terms drawn from MEDLINE, PsychINFO, BIOSIS, and Excerpta Medica. Comparative statistics are presented on how each database links related documents and discriminates among…

Summarizes the findings of a recent study on the indexing practices used in the Library and Information Science Abstracts (LISA) database. Descriptors, or indexing terms, from the thesaurus are analyzed; searching implications are discussed; and the relationship between the classification code and the descriptors is examined. (Contains 21…

Describes a fast algorithm for comparing the lists of terms representing documents in automatic classification experiments. Complexity and running time for the algorithm are compared to other procedures, and a short algol-like routine is presented in the appendix. Eight references are included. (Author/BK)

Summarizes the experimental evidence that indicates that text indexing systems based on the assignment of appropriately weighted single terms produce retrieval results superior to those obtained with more elaborate text representations, and provides baseline single term indexing models with which more elaborate content analysis procedures can be…

Briefly reviews various methodologies for constructing enhanced document representations, discusses their general lack of usefulness, and describes a method of document indexing which uses title words taken from bibliographically related items. Evaluation of this process indicates that it is not sufficiently reliable to warrant incorporation into…