Integrates structured data and text using the unchanged, standard relational model. The performance of a parallel relational database system and the effect of query reduction on accuracy were tested, and it was found that queries can be reduced prior to their implementation without incurring significant loss in precision/recall. (AEF)

Discusses approaches to the integration of query-based information retrieval and browsing in a hypertext network. A prototype system developed to evaluate the proposed approach in terms of retrieval effectiveness and search efficiency is presented, and design and implementation issues concerning the prototype are considered. (30 references) (EA)

The Telemakus System builds on the areas of concept representation, schema theory, and information visualization to enhance knowledge discovery from scientific literature. This article describes the underlying theories and an overview of a working implementation designed to enhance the knowledge discovery process through retrieval, visual and…

Demonstrates that if the similarity function of a retrieval system leads to a (pseudo-) metric, the retrieval, similarity and Everett-Cater metric topology coincide and are different from the discrete topology; this is the case if documents are represented by lists, using the Jaccard similarity measure. The corresponding metric is the…

Introduces Information Management Assistants (IMAs). Presents work on an architecture for this class of system, and progress in implementing Watson, a prototype of such a system. Watson observes users in word processing and Web browsing applications and uses a simple model of the user's tasks, knowledge of term importance, and an understanding of…

Arguing that relevance judgments are fundamental to the design and evaluation of all information retrieval systems, and that a consensus on the definition of the central concept of relevance has not been reached, this paper begins by critically reviewing four approaches to the problem of defining relevance: (1) the system-oriented approach…

Describes a study of users' document selection behavior that was conducted to build a tentative cognitive model of document selection behavior to be used in designing intelligent information retrieval systems. Topics addressed include studies of relevance and of decision making; value judgments; and document information elements considered during…

Proposes a useful concept of relevance as a relationship and an effect on the movement of a user through the iterative stages of their information seeking process, and that users' relevance judgments can be plotted on a Three-Dimensional Spatial Model of Relevance Level, Degree and Time. Discusses implications for the development of information…

Proposes principles for the design of effective document retrieval (DR) systems incorporating users' cognitive behaviors. Addresses three issues: (1) effective representations for documents to enable users' relevance judgments and decision making; (2) efficient presentations of documents to facilitate users' information processing and decision…

This bibliography on users' machine-assisted information seeking behavior was compiled by the American Library Association's Reference and User Services Association (RUSA) Machine-Assisted Reference Section (MARS). Includes adoption of technology; digital library services; hypertext; interface design; models and theory; relevance; resource…