Textual properties of documents were analyzed to identify predictive variables for various document qualities by means of statistical and linguistic methods. A collection of 1000 documents was created, and each document was judged in terms of nine document qualities (accuracy, reliability, objectivity, depth, author/producer credibility,…

Discusses ranking techniques for document retrieval and proposes an evaluation, or filtering, technique that reduces costs and memory usage by early recognition of which documents are likely to be highly ranked. Highlights include index design, ranked query evaluation, reducing the number of accumulators, inverted file structures, and experimental…

Discussion of information retrieval and relevance focuses on mutual information, a measure which represents the relation between two words. A model of a natural-language information-retrieval system that is based on a two-level document-ranking method using mutual information is presented, and a Korean encyclopedia test collection is explained.…

Discusses the growth in the quantity of scientific literature and advances in information retrieval techniques to find relevant articles. Explores user behavior and information requirements of scientists as they interact with medical literature to answer research questions and introduces METIS (Multi-user extraction and information synthesis) to…

Reports results from a national study into the perceived variation reported by health information managers related to the relevance-efficiency trade-offs of information classification across regions and practice settings. Findings suggest that due to major regional variation, stringent national information standards may be counterproductive for…

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 a project that is developing an intelligent search intermediary to help users locate relevant passages in large full text databases. (The system automatically reformulates Boolean queries to improve search results and presents retrieved passages in decreasing order of estimated relevance.) The current status of the project and plans for…

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…

Describes a study that examined the effect of the order of document presentation on the relevance scores assigned to documents, and the effect of the rating scale used (category rating or magnitude estimation) on order effects. Areas which need further investigation are identified. (13 references) (CLB)

Compares two natural language processing search engines, WIN (WESTLAW Is Natural) and FREESTYLE, developed by LEXIS. Legal issues in natural language queries were presented to identical libraries in both systems. Results showed that the editorials enhanced relevance; a search would be more thorough using both databases; and if only one system were…

Discussion of indexing consistency focuses on a study that examined duplicate records in "Information Science Abstracts" to determine how consistent the indexing was. Literature on indexing consistency is reviewed; index terms are discussed, including descriptors and identifiers; and the relationship between indexing depth and…

Introduces navigation as a central concept for information retrieval and for information systems in general. The evolution of information systems is described; navigability as an aid to improve relevance is discussed; and a system under development that attempts to facilitate navigation for information retrieval is described. (31 references) (LRW)

Examines historical and current difficulties in information retrieval, including the tendency of technology, because of the problems of scale and distribution, to make information invisible to users. Attempts to organize networked resources are described, and serendipity is proposed as a model for future retrieval. (two references) (MES)

Discussion of the problem of control in documentary information retrieval (IR) systems focuses on feedback mechanisms. Information needs are discussed, particularly the Problem Oriented Information Need (POIN); the structure of an adaptive IR system is described; and the design of algorithms for automated IR systems is explained. (33 references)…

Discussion of user queries in information retrieval highlights the experimental evaluation of an adaptive linear model that constructs improved query vectors from user preference judgments on a sample set of documents. The performance of this method is compared with that of standard relevance feedback techniques. (28 references) (LRW)