Identifies requirements for representing structural aspects of nonconventional information system applications and demonstrates how recursive data models support information systems better than record-based database modelling tools. Structural concepts for representing office data objects are discussed and applied to an office example. Language…

Introduces a special issue on research on hypertext systems and information retrieval. Systems design aspects, including navigation models, link weighting, multiple representation techniques, automatic authoring, user modelling, varying levels of abstraction, and evaluation techniques are addressed. (EA)

Discussion of natural language processing components of information retrieval systems focuses on a full-text system called TOPIC (Text-Oriented Procedures for Information Management and Condensation of Expository Texts) that is based on text parsing. Highlights include design rationales for semantic parsing; text coherence; and a semantic model of…

Presents a model that distinguishes between data as directly observable facts, information as structured collections of data, and knowledge as methods of using information. The discussion covers the likely benefits of the use of the model for a semantic information retrieval system using the concept of semantic categories. (28 references)…

Presents a model for the a priori analysis of natural language queries which uses an algorithm to transform the query into a logical pattern that is used to determine the answerability of the query. The results of testing by a prototype system implemented in PROLOG are discussed. (20 references) (CLB)

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…

Discusses expert systems and their value as components of information retrieval systems related to semantic inference, and describes IOTA, a model of an intelligent information retrieval system which emphasizes natural language query processing. Experimental results are discussed and current and future developments are highlighted. (Author/LRW)

Describes a prototype natural language text knowledge system (TKS) that was used to organize 50 pages of a handbook on artificial intelligence as an inferential knowledge base with natural language query and command capabilities. Representation of text, database navigation, query systems, discourse structuring, and future research needs are…

Describes a semantic content recognition process based on relatively small sets of context relators, logical relators, phase and state relators, and aspect relators, which are connecting tools in describing meanings in process of concept formation and human communication. Semantic analysis of textual data by computer is tested for feasibility.…

Discusses the need for a rich semantics for the user interface in interactive image retrieval and presents two methods for building such interfaces: possibility theory applied to fuzzy data retrieval, and a machine learning technique applied to learning the user's deep need. Prototypes developed using videodisks and knowledge-based software are…