Presents two partitioning methods for signature files and a method of fast weight computation to implement a document ranking strategy. Storage requirements, number of disk accesses, and processing time for these methods are compared with two other access methods. Merits of the partitioning methods are summarized. (20 references) (MES)

Identifies four components of a good predictive lossless image compression method: (1) pixel sequence, (2) image modeling and prediction, (3) error modeling, and (4) error coding. Highlights include Laplace distribution and a comparison of the multilevel progressive method for image coding with the prediction by partial precision matching method.…

Presents new methods for compressing bit matrices in large information retrieval systems which exploit possible correlations between rows of words and columns of documents. Three encoding methods are tested and compared--Shannon-Fano, arithmetic, and Huffman--and an appendix discusses binomial coefficients. (20 references) (LRW)

Presents model of algorithm design (activity in software development) based on analysis of protocols of two subjects designing three convex hull algorithms. Automation methods, methods for studying algorithm design, role of discovery in problem solving, and comparison of different designs of case study according to model are highlighted.…

Discusses end-user searching in Boolean information retrieval systems considers the role of search intermediaries and proposes a model of user preferences that incorporates a user's profile. Highlights include document representation; information queries; document output ranking; calculating user profiles; and selecting documents for a local…

Describes a conceptual model for integrating short scientific texts, which extends classical text storage and retrieval. A brief comparison with related approaches such as case-based reasoning and classification-based reasoning is also provided. (13 references) (Author/KRN)

Describes a study which focused on the application of magnitude estimation, an open-ended scaling technique developed in the field of sensory psychophysics, to the task of measuring relevance judgments. The discussion covers potential biases found in magnitude estimation and in commonly used category rating scaling processes. (23 references)…

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)

Explores the use of visualization to enhance the information retrieval process, particularly in bibliographic retrieval systems. Topics discussed include document retrieval systems; human visualization; the VIBE (VIsualization by Example) system, a prototype system for visualizing a collection of documents; and differences between VIBE and more…

Presents a measure of the relative standing of professional journals in an aggregated journal citation matrix. The results of the application of the measure to a network of geographic journals during two time periods are reported and discussed. (35 references) (Author/CLB)

Describes a technique for statistically comparing bibliometric models and illustrates its use with two examples using Lotka's hypothesis of author productivity and one example using library circulation frequencies. Topics discussed include nested statistical models, analysis of variance, regression, log-linear models, and the likelihood ratio…

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 rough sets theory and discusses the advantages it offers for information retrieval, including the implicit inclusion of Boolean logic, term weighting, ranked retrieval output, and relevance feedback. Rough set formalism is compared to Boolean, vector, and fuzzy models of information retrieval and a small scale evaluation of rough sets is…

Reports information retrieval experiments comparing the performance of a probabilistic retrieval model that incorporates interdocument links with the simpler spreading activation strategy. Results indicated that the overall improvement obtained by including hypertext links in the retrieval model was low. (30 references) (EA)

Presents a model for information retrieval evaluation based on the notion of total relevance, a function derived from the traditional summation of relevance ratings over the documents in a collection. The model makes explicit the perceptual underpinnings of relevance assessments while allowing for consideration of interdocument dependencies. (37…