These two indexing systems are briefly described and experimental evidence is cited showing that a combination of both theories produces better retrieval performance than either one alone. Appropriate conclusions are reached concerning viable automatic indexing procedures usable in practice. (Author)

Discusses access to nontextual documents in large multimedia document bases. A hybrid information retrieval model, using queries in a hypertext environment for location of browsing areas, is presented; and two experiments using cluster-based descriptions of content are reported. (23 references) (EA)

Discusses and examines two approaches to concept-based retrieval of hypermedia information that improve a user's ability to navigate large systems--term indexing with semantically coupled thesauri and semantic hyperindexing. Visualization of index structures is discussed, and an example, the Cube of Contents retrieval model for the "Active…

Presents an information systems navigation approach using a combination of functionalities encountered in classification processes, Hypertext systems, and information retrieval systems. The first version of the SYRIUS system is described, with emphasis on the user's graphic interface which integrates these functionalities. (26 references) (EA)

Presents a statistical model for predicting the performance of an automated keywording system on each document it keywords. Methods of text analysis are described, including statistical methods, discriminant analysis, linguistic approaches, and artificial intelligence; performance measures are discussed; and regression models are explained. (16…

Presents a set-oriented view of information retrieval and defines a precise model to capture this approach. A number of consequences of the model, such as the limitations implied by a finite index vocabulary, are examined, and the various ways in which the set orientation can influence thinking about information retrieval is discussed. (14…