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)

Investigates the feasibility of using a distance measure for automatic sequential document classification. This property of the distance measure is used to design a sequential classification algorithm which classifies key words and analyzes them separately in order to assign primary and secondary classes to a document. (VT)

Presents principles for determining profile of a system user based on analysis of co-occurrence of index terms in queries and pertinent documents. A procedure for determining index term weights, the information value of which depends on the degree of homogeneity of system users, is introduced. Three references are cited. (EJS)

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)

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)

Provides a method for estimating precision without examining individual database documents, which requires knowledge of only the query or expressed information need and a set of database parameters constant for all queries. Concepts of historic and expected precision are examined, and applications of precision-document graphs are assessed. (36…