Discussion of the classification of documents from bibliographic databases focuses on a method of vectorizing reference documents from LISA (Library and Information Science Abstracts) which permits their topological organization using Kohonen's algorithm. Analyzes possibilities of this type of neural network with respect to the development of…

Discusses the emergence of general audience digital libraries (GADLs), a context that represents a hybrid of both traditional information retrieval, using primarily bibliographic resources provided by database vendors, and popular information retrieval such as public search systems on the Web. Reports findings of a study investigating end-user…

Applies a prefix trie index, or trie hashing, to the problem of providing fast search times, fast load times, and fast update properties in a bibliographic or full-text retrieval system with inverted files. Statistics are given for a test database consisting of an online catalog at the University of Western Ontario. (Author/LRW)

Describes a study that compared a hypertext-based bibliographic retrieval system with a traditional Boolean-based system. Results, conducted with novice and experienced searchers, revealed that the Boolean system performed better for tasks with a large number of relevant items, and that searcher experience level did not play a significant role.…

The effectiveness of using the age of references to control the exhaustivity of the reference representation in information retrieval was investigated through analysis of optimal cluster-based retrieval results. The results show that the foreground representation at its optimal level of exhaustivity is restricted to references with ages less than…

Reports on the design of an automated query system to help pharmacologists access the Derwent Drug File (DDF). Topics include knowledge types; knowledge representation; role of the search intermediary; vocabulary selection, thesaurus, and user input in natural language; browsing; evaluation methods; and search statement generation for the World…