Search results

1. Introduction Probably the “hottest” topic in the LISA (Library and Information Systems) world in recent times is the idea of developing systems which can act “intelligently” by using the knowledge of a human expert (within our context, that of an intermediary or a librarian). Such knowledge‐based systems are popularly known as “expert systems”.

The issues involved in the construction of an expert system for retrieval are described, together with some of the techniques that have been used in artificial intelligence and information science to tackle them. The solutions adopted by the prototype expert system PLEXUS are described, with particular reference to the semantic processing that takes place. The paper concludes with a discussion of continuing issues on which work is currently proceeding.

In ‘ASK for Information Retrieval: Part I’, we discussed the theory and background to a design study for an information retrieval (IR) system based on the attempt to represent the anomalous states of knowledge (ASKs) underlying information needs. In Part II, we report the methods and results of the design study, and our conclusions.

Selected current and recent work in the area of cognitive modelling is reviewed. Particular attention is paid to user models (that is, the model held by a system of a user). The relevance of this work to information retrieval is assessed and some attempts to include user models in IR systems are discussed. Implications are drawn for future work in IR.

There is a huge amount of information and data stored in publicly available online databases that consist of large text files accessed by Boolean search techniques. It is widely held that less use is made of these databases than could or should be the case, and that one reason for this is that potential users find it difficult to identify which databases to search, to use the various command languages of the hosts and to construct the Boolean search statements required. This reasoning has stimulated a considerable amount of exploration and development work on the construction of search interfaces, to aid the inexperienced user to gain effective access to these databases. The aim of our paper is to review aspects of the design of such interfaces: to indicate the requirements that must be met if maximum aid is to be offered to the inexperienced searcher; to spell out the knowledge that must be incorporated in an interface if such aid is to be given; to describe some of the solutions that have been implemented in experimental and operational interfaces; and to discuss some of the problems encountered. The paper closes with an extensive bibliography of references relevant to online search aids, going well beyond the items explicitly mentioned in the text. An index to software appears after the bibliography at the end of the paper.

This paper explores the role of paradigms in information retrieval research. The nature of a paradigm is outlined and the fundamental sense of a paradigm as an exemplar is identified. The applicability of the paradigm concept to a multi‐disciplinary field such as information science is discussed and it is concluded that paradigms can be a legitimate feature of information science though they may not be connected with the development of normal science. The features of two paradigms operating in information retrieval research, (1) the physical paradigm and (2) the cognitive paradigm are outlined, and their origins, nature and role examined. It is argued that although most work in information retrieval research takes place within the physical and cognitive paradigms, neither provides the basis for a powerful paradigm directed science. An explanation for the failure to develop a powerful body of theory articulated within a well developed paradigmatic framework is offered with reference to the inherent categorial duality of the field.

A behavioural approach to information retrieval system design is outlined based on the derivation of a behavioural model of the information seeking patterns of academic social scientists. The information seeking patterns of a variety of academic social scientists were broken down into six characteristics: starting, chaining, browsing, differentiating, monitoring, and extracting. These characteristics constitute the principal generic features of the different individual patterns, and together provide a flexible behavioural model for information retrieval system design. The extent to which these characteristics are available on existing systems is considered, and the requirements for implementing the features on an experimental system are set out.

This review reports on the current state and the potential of tools and systems designed to aid online searching, referred to here as online searching aids. Intermediary mechanisms are examined in terms of the two stage model, i.e. end‐user, intermediary, ‘raw database’, and different forms of user — system interaction are discussed. The evolution of the terminology of online searching aids is presented with special emphasis on the expert/non‐expert division. Terms defined include gateways, front‐end systems, intermediary systems and post‐processing. The alternative configurations that such systems can have and the approaches to the design of the user interface are discussed. The review then analyses the functions of online searching aids, i.e. logon procedures, access to hosts, help features, search formulation, query reformulation, database selection, uploading, downloading and post‐processing. Costs are then briefly examined. The review concludes by looking at future trends following recent developments in computer science and elsewhere. Distributed expert based information systems (debis), the standard generalised mark‐up language (SGML), the client‐server model, object‐orientation and parallel processing are expected to influence, if they have not done so already, the design and implementation of future online searching aids.