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This article presents a summary of the major findings of a survey of the use of hypertext systems and the production of hypertext products in UK libraries. Not surprisingly, academic libraries are found to be both the most enthusiastic users and producers. The survey concludes that there are normally four principal stages in a library's development of a hypertext system, although the possibility of leapfrogging via the World Wide Web is acknowledged.

We have recently completed a survey of the use of hypertext systems in academic, public and special libraries within the United Kingdom. A questionnaire and both telephone and face‐to‐face interviews revealed that the largest application of such systems in academic libraries is the use of the World‐Wide Web for networked document retrieval. This paper discusses the current usage of the World‐Wide Web by academic library services, illustrating the range of facilities that libraries are starting to make available to their users.

An important stage in the process of retrieval of objects from a hypertext database is the creation of a set of inter‐nodal links that are intended to represent the relationships existing between objects; this operation is often undertaken manually, just as index terms are often manually assigned to documents in a conventional retrieval system. Studies of conventional systems have suggested that a degree of consistency in the terms assigned to documents by indexers is positively associated with retrieval effectiveness. It is thus of interest to investigate the consistency of assignment of links in separate hypertext versions of the same full‐text document, since a measure of agreement may be related to the subsequent utility of the resulting hypertext databases. The calculation of values indicating the degree of similarity between objects is a technique that has been widely used in the fields of textual and chemical information retrieval; in this paper, we describe the application of arithmetic coefficients and topological indices to the measurement of the degree of similarity between the sets of inter‐nodal links in hypertext databases. We publish the results of a study in which several different sets of links are inserted, by different people, between the paragraphs of each of a number of full‐text documents. Our results show little similarity between the sets of links identified by different people; this finding is comparable with those of studies of inter‐indexer consistency, where it has been found that there is generally only a low level of agreement between the sets of index terms assigned to a document by different indexers.

The development of the World‐Wide Web has caught the imagination not only of professional computer users, but also of large sections of the general public: news and feature items concerning aspects of the Internet abound in the popular media, and these commonly specify the Web as the technology of choice for accessing a wide variety of information resources.

A survey carried out during 1998 investigated the use of the World Wide Web for user education in 68 UK university libraries. Almost three‐quarters of the libraries surveyed make use of the Web for this purpose. The Web is used as a supplement to existing user education, in order to support independent, student centred learning and to reach parttime and distance learners. Just ten percent of user education is delivered solely via the Web, but libraries indicated that use will grow in the future. It was found that greater use is made of the Web for information skills training than for library induction. The authors suggest a number of reasons why more use is not being made of the Web for user education and propose future developments in this area. Web‐based instruction is unlikely to completely replace traditional methods, but it can be used to supplement and extend existing provision.

For the purposes of this article, the indexing of information is interpreted as the pre‐processing of information in order to enable its retrieval. This definition thus spans a dimension extending from classification‐based approaches (pre‐co‐ordinate) to keyword searching (post‐co‐ordinate). In the first section we clarify our use of terminology, by briefly describing a framework for modelling IR systems in terms of sets of objects, relationships and functions. In the following three sections, we discuss the application of indexing functions to document collections of three specific types: (1) ‘conventional’ text databases; (2) hypertext databases; and (3) the World Wide Web, globally distributed across the Internet.