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)

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…

Presents a database system development model in which theoretical support in the form of automated theorem proving is brought to bear on the problem of enforcing integrity, i.e., ensuring that the database system represents only those states and transitions that are possible in the world it models. (MBR)

Describes an interface mechanism called "complex view support" to be used with a relational database system (RDBS) in supporting increasingly complex distributed environments in automated library systems. The interface system refers queries to multidimensional tables as well as to flat tables on RDBS and is shown to efficiently support…

Describes an interactive data retrieval system which was designed and implemented for casual users and which incorporates a user-friendly interface, aids to train beginners in use of the system, versatility in output, and error recovery protocols. A 14-item reference list and two figures illustrating system operation and output are included. (JL)

This description of the design of an online library acquisition system highlights the use of database management systems in developing information retrieval systems, and software requirements for the hierarchical menu-driven operation. A conceptual view of the database is included. (LRW)

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…

Presents a relational logical model to support a sophisticated document retrieval system in which flexible forms of inferential and associative searching can be performed, and provides examples of ad hoc inquiries. Several problems of particular importance to document retrieval are discussed in terms of this model. (27 references) (Author/CLB)