Presents a model that places Boolean database queries into conjunctive normal form, thereby allowing probabilistic ranking of documents and the incorporation of relevance feedback. Experimental results compare the performance of a sequential learning probabilistic retrieval model with the proposed integrated Boolean probabilistic model and a fuzzy…

Six articles about evaluating information retrieval (IR) systems and methods are briefly described in this introduction to a special issue and some of the major problems that are encountered in evaluating interactive information retrieval are considered. (two references) (LAE)

Research designed to identify the best evaluation measure(s) for interactive information retrieval (IR) performance studied 20 measures in a natural IR environment with 40 real end users. These users found overall search value to be the most important factor and recall was more important than precision. Additional evaluation criteria are suggested…

A theoretical framework used to derive a weighting mechanism for ranking output documents in Boolean retrieval systems is described in detail. A simple illustrative example is included, and the implications of such an approach are discussed. (64 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.…

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…

Discusses the probabilistic nature of information retrieval, and describes a front end system designed to permit searchers to attach probabilistically interpreted weights to query terms, which could be adapted for conventional information retrieval systems without requiring radical changes in current indexing procedures. (37 references) (CLB)

Describes the three subsystems of an information retrieval system (document descriptions, queries, and matching algorithms) and argues that the interdependency of these subsystems requires adaptation for the system to perform when any component changes. An algorithm for redescribing documents, in response to changes in queries and retrieval rules,…

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…

Discussion of database design that allows wider range of capabilities than conventional information retrieval database covers prestructuring of searches to pinpoint target items, which are selected from browseable display, and navigation capability, which allows user to move from record to record within database to facilitate extraction of…

Describes a new Boolean retrieval environment in which an extended soft Boolean logic is used to automatically construct queries from original natural language formulations provided by users. Experimental results that compare the retrieval effectiveness of this method to conventional Boolean and vector processing are discussed. (27 references)…

Discusses the motivation for integrating information retrieval and database management systems, and proposes a probabilistic retrieval model in which records in a file may be composed of attributes (formatted data items) and descriptors (content indicators). The details and resolutions of difficulties involved in integrating such systems are…

Provides an overview of methods for improving the effectiveness of Boolean retrieval systems, including document clustering, relevance feedback, weighted term searching, ranked output, and fuzzy set theory. The discussion of experimental studies with the SMART and SIRE systems focuses on the implementation and results of these methods. (69…

Discusses the potential sources of knowledge for customizing transportable natural language query systems, including sophisticated dictionaries, database content, and human database experts. A rough quantification of the importance of each source is provided. (17 references) (Author/CLB)

Proposes a "Model of Querying" for users of office filing facilities and discusses its motivation, aspects, attributes, and advantages. A review of current information systems and attempts to combine information retrieval, artificial intelligence, and database management techniques leads to conclusion that no resultant system is adequate…