Discusses the possibility of storing a compressed form of a translated version of a text that takes advantage of the availability of the original version for more accurate understanding. Experiments that used humans and then computers to predict texts letter by letter are described. (12 references) (LRW)

Describes a model for a front end query processor to deal with incomplete information in a database. The effectiveness of the processor in restricting the number of objects to be processed in a query and in aiding the interpretation of a query is discussed. (26 references) (Author/CLB)

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…

Argues that most currently used information retrieval models are unsuitable to describe recent techniques such as semantic based retrieval. A more general model is presented in which the basis for information retrieval is viewed as logical implication and the estimation of the correspondence between queries and documents is described in terms of…

Describes technique developed as automatic support to subject heading indexing at BIOSIS based on use of formalized language for semantic representation of biological texts and subject headings. Language structures, experimental results, and analysis of journal/subject heading and author/subject heading correlation data are discussed. References…

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 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)

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 manually constructed knowledge representation aimed at increasing the effectiveness of information retrieval systems. The framework of first order theories is used to analyze the properties of this new structure. The analysis demonstrates that the retrieval function takes term dependencies into account and distinguishes between…

Analyzes the formal properties, structural consequences, similarities, and differences of link indicators, brackets, and cohesion separators in the query languages employed in information retrieval. Eleven figures, a 32-item reference list, and appendices on Extended Backus Notation and the formal definition of the Formal Relevance Language are…

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 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 experiments that compared a new method for automatically analyzing semantic structures in text by statistical means with the standard vector space model. Findings indicate that combining both methods improved performance over either alone. The effects of other experimental variables on retrieval performance (term weighting, suffix…

Describes the hyperterm system REALIST (Retrieval Aids by Linguistics and Statistics) with emphasis on its semantic component, which generates term relations from free-text input. Experiments with various similarity measures are discussed, and the quality of the associated terms is evaluated using term recall and term precision measures. (22…

Describes a method based on Bayesian networks for searching hypertext systems. Discussion covers the use of Bayesian networks for structuring index terms and representing user information needs; use of link semantics based on constrained spreading activation to find starting points for browsing; and evaluation of a prototype system. (64…