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)

Discusses general issues of computer and human understanding; contrasts three paradigms of information retrieval methodology, including statistical, deep semantic or natural language, and smart Boolean; describes CONIT, a knowledge-based intermediary retrieval assistance system; and examines system evaluation procedures, including a…

Presents a method of modeling the relevance relationship in information retrieval to answer the question of the theoretical limits of certain statistical methods. Hypergeometric probability distribution is used to construct an abstract model of a database of MEDLINE records, and results of tests of vector retrieval methods are reported. (28…

Reviews models currently used to describe the retrieval process and questions whether extensions of traditional approaches can provide mechanisms for expert retrieval systems. An alternative view in which retrieval is based on concept space is presented. A logic framework is used to define a semantic model for using knowledge contained in concept…

Explores the role of paradigms in information retrieval research and discusses the nature of a paradigm and the applicability of the paradigm concept to a multidisciplinary field such as information science. The features of the physical paradigm and the cognitive paradigm are outlined, and their origins, nature, and role are examined. (55…

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…

Discussion of information retrieval focuses on theoretical and empirical advances in knowledge-based information retrieval. Topics discussed include the use of natural language for queries; the use of expert systems; intelligent tutoring systems; user modeling; the need for evaluation of system effectiveness; and examples of systems, including…

This paper discusses the complexity of explanation activity in human-human goal-directed dialogue and suggests that this complexity ought to be taken into account in the design of explanation in human-computer interaction. A general model of clarity in human-computer systems is proposed, incorporating explanation as one component. On the basis of…

Explores the fundamentals of browsing behavior as a basis for the creation of an intelligent computer system to assist in online information retrieval. A prototype system is described, and the results of initial tests are reported. (5 references) (Author/CLB)

Presents an overview of the IR-NLI II system, an expert interface that allows users to access online information retrieval systems and that encompasses user modeling capabilities. Highlights include the design of the system, the structure and content of stereotypes that represent typical classes of users, and construction of user models.…

Proposes a model of knowledge-based information retrieval (KBIR) that is based on a hierarchical concept graph (HCG) which shows relationships between index terms and constitutes a hierarchical thesaurus as a knowledge base. Conceptual distance between a query and an object is discussed and the use of Boolean operators is described. (25…

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…

Based on an international workshop held at Rutgers University, this article discusses problems and issues in the design, research, and implementation of distributed expert-based information systems (DEBIS). Information needs of end users are stressed, architectures for expert information retrieval systems are explored, and prototype models are…

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…

Describes a hypertext learning system in the United Kingdom that is designed to assist community pharmacists in recommending over-the-counter remedies to patients. The combination of hypertext's linking features with the knowledge-based components of expert systems is discussed, and the application of this model to other domains is explored. (five…