Examines the knowledge base of an intermediary expert system that provides advice about search term selection. Topics include a proposal for an integrated approach, including an option focusing on terminological attributes based on knowledge acquired from professional searchers; and the content of the knowledge base and the research needed to…

After reviewing the literature on automatic indexing research an experiment is described which examined term distribution and the effectiveness of the Two Poisson and Three Poisson Models in identifying good index terms. The conclusion reached is that these models should be applied with caution in document retrieval. (25 references) (EAM)

Briefly reviews early work in documentation and text processing, and predictions that were made about the creative role of computers in information retrieval. An attempt is made to explain why these predictions were not fulfilled and conclusions are drawn regarding the limits of computer power in text retrieval applications. (Author/CLB)

Discussion of index construction for large text collections highlights a new indexing algorithm designed to create large compressed inverted indexes "in situ." Topics include a computational model, inversion, index compression, merging, experimental test results, effect on retrieval performance, memory restrictions, and dynamic…

Suggests ways to increase precision when searching full text files on BRS, Mead Data Central and DIALOG. All of the techniques are based on achieving repetition of central concepts as expressed in natural language. Schematic representations of strategies and sample searches on each of the three systems are provided. (10 references) (CLB)

Description of a computer system that converts text automatically into a form suitable for browsing and consultation online focuses on its use for online documentation. Also discussed are possibilities for its applications in automatic indexing, index access, and authoring systems for computer-assisted instruction (CAI). (four references)…

Grounded on object filtering, automatic indexing, and co-occurrence analysis, an experiment was performed using a parallel supercomputer to analyze over 400,000 abstracts in an INSPEC computer engineering collection. A user evaluation revealed that system-generated thesauri were better than the human-generated INSPEC subject thesaurus in concept…

Describes the advantages of a prototype retrieval system that uses statistically based ranked retrieval of records rather than traditional boolean methods, especially for end users. Several new techniques are also discussed including bit mapping, pruning, methods of building inverted files, and types of search engine. (26 references) (EAM)

Presents an approach to automatic matching and linkage of citations between databases which applied 14 coding techniques and measured their effectiveness in terms of efficiency of retrieval of duplicates with minimal false hits, reliability, and performance. (EAM)

Describes the use of a highly parallel array processor for pattern matching operations in a bibliographic retrieval system. The discussion covers the hardware and software features of the processor, the pattern matching algorithm used, and the results of experimental tests of the system. (37 references) (Author/CLB)

Presents a statistical learning approach to assigning controlled index terms that consists of the learning process and the indexing process. A learning feedback technique is also introduced. Experimental results show that the statistical learning approach and the learning feedback technique are practical means to automatic indexing of controlled…

In World Wide Web indexing: (1) the creation process is automated; (2) the indexes are merely descriptive, not analytical of document content; (3) results may be sorted differently depending on the search engine; and (4) indexes link directly to the resources. This article compares the indexing methods and querying options of the search engines…

Reports on a study of index term selection techniques in a small experimental keyword information retrieval system. Two experiments are described which show that user success is improved by increasing the number of terms per object used. Implications for larger databases are considered. (22 references) (EAM)

Describes and discusses the findings of an experiment that tested the precision of full-text retrieval enhanced by 29 document term weighting algorithms at the lowest, middle, and highest levels of recall, and compared with the precision of full-text retrieval without algorithms and with paragraph retrieval. (29 references) (Author/CLB)

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.…