Presents a method for using the amount of semantic information in search-query terms as a weighting factor in constructing a fuzzy relation of resemblance between retrieved items in information retrieval online. Two tables, two figures, and a reference list accompany the text. (Author/JL)

Describes the SAPHIRE (Semantic and Probabilistic Heuristic Information Retrieval Environment) that was developed to identify optimal approaches to indexing, retrieval, and evaluation of information retrieval systems in the biomedical domain. Six evaluation studies that have been done with SAPHIRE are summarized and future challenges are…

Presents a concept of end-user query language with facilities for expressing relationships between objects kept in a database. The idea of nesting these features in typical document query language is shown. Examples of usage of these new facilities are included. (Author/MBR)

The first of two papers discusses natural language searching as a user performance enhancement tool, focusing on artificial intelligence applications for information retrieval and problems with natural language processing. The second presents a conceptual framework for further development and future design of front ends to online bibliographic…

Discusses the design of interfaces for online systems and suggests requirements that must be met to offer maximum aid to inexperienced users. Highlights include the online search process, user data, query processing, database descriptors, semantic links, multilingual processing, search strategies, and distributed systems. A 20-page bibliography…

Addresses problems with automated bibliographic and full-text storage of scientific articles. The role of the scientific article is described, the structure is explained, current indexing and information retrieval techniques are criticized, new possibilities using a rhetoric syntax or argumentational syntax are explored, and the use of hypertext…

Presents an algorithm for use in natural language document retrieval systems which automatically determines if the conjunction "and" in a statement representing an information need should be translated into a Boolean "and" or "or." The results of an experiment that used the algorithm are reported, and further research is suggested. (CLB)