A report of several comparisons designed to measure the retrieval effectiveness of machined-aided indexing and manual indexing. (Author)

Describes MANIS, an information system for retrieval of interdisciplinary information in management, which maintains traditional classification but allows the user to combine terms of his choice, where choice is restricted to terms belonging to the systems of traditional classification. (CWM)

Demonstrates the property of inclusiveness of document retrieval systems where documents are indexed by unweighted terms and in which query search patterns are Boolean functions of descriptors and presents three methods for determining a partial ordering on a set of system responses to these queries. Eleven sources are listed. (FM)

Provides overview of Ergonomics Abstracts Retrieval System (EARS), an online bibliographic search and retrieval system in the area of human factors engineering. Other online systems are described, the design of EARS based on inverted file organization is explained, and system expansions including a thesaurus are discussed. (Author/LRW)

Describes a study that collected statistics on the occurrence of terms used in searching an online catalog and investigated the correlation of the selection of terms with their occurrence in indexing. The discussion of the results includes implications for indexing theories. (19 references) (CLB)

Describes a method for enhancing the subject index terms of a document with title terms from cited, citing, and cocited documents. Experimental results of this methodology are presented, and responses to criticisms of this strategy are made. (40 references) (CLB)

Describes an indexing technique based on overlapping word fragments as reference strings that are linked in a directed graph structure which makes possible exact match-, partial match-, and masked-partial match-retrieval and indicates search strategies for each case. Eight figures, two tables, and nine references are provided. (RBF)

Describes large scale experiments to test the value of index term weighting based on relevance information, and presents results showing that weighting leads to remarkable improvements in retrieval performance. (Author/CWM)

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…

Discusses the overlap of research in artificial intelligence and information retrieval, focusing on the papers included in this special issue of Information Processing and Management. Highlights include the emphasis on evaluation and testing in prior research and use of manual and automatic indexing, expert systems, knowledge representation, and…

Review of office filing facility filing and retrieval mechanisms for unstructured and mixed media information focuses on free text methods. Also discussed are the state of the art in handling voice and image data, problems with searching text surrogates to implement free text content retrieval, and work of Project Minstrel. (Author/MBR)

Discusses indeterminancy of selection of terms by indexers and by inquirers as major factors influencing subject access to documents in document retrieval systems. Five types of interactions between these two indeterminancies are discussed, and a change in traditional method of subject searching is suggested to reduce effect of inter-indexer…

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…

Assesses the impact of current coverage and indexing policies on MEDLINE's retrieval performance in the medical behavioral sciences literature by comparing retrievals in EXCERPTA MEDICA, PSYCHINFO, SCISEARCH, and SOCIAL SCISEARCH. Searches were made with descriptors, cited references, and natural language, and recall, precision, and novelty ratios…

Zipfian laws for frequency distributions of word pairs and longer phrases are derived from text sample analysis. From crossing of Zipfian curves, it is deduced that number of multi-word phrases that occur frequently in text is surprisingly small, of same order of magnitude as number of individual word-types. (8 references) (EJS)