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This paper reports the results of the information retrieval project PADOK‐II. This project, which began in November 1987, is being carried out by the Linguistic Information Science Group of the University of Regensburg (LIR) in cooperation with the German Patent Office (GPO) and is sponsored by the German Ministry for Research and Technology. The long‐term aim is to integrate artificial intelligence into information retrieval research without neglecting traditional information retrieval methodology. In PADOK‐II an information retrieval system is considered which indexes documents rather shallowly using free‐text or morphological components. A large‐scale retrieval test has been carried out, based on the German Patent Information System. Answers have been obtained to some 400 queries made by 10 users in simulated real‐life situations. These results have been used to attempt to answer the question: ‘How do the linguistically‐based functions of an indexing system contribute to its performance?’ As a spinoff of this test, the influence of document size and structure was studied with a view to identifying the most reasonable basic content for a German Patent Information System.

A framework for the long‐term learning of user preferences in information retrieval is presented. The multiple indexing and method‐object relations (MIMOR) model tightly integrates a fusion method and a relevance feedback processor into a learning model. Several black box matching functions can be combined into a linear combination committee machine which reflects the user's vague individual cognitive concepts expressed in relevance feedback decisions. An extension based on the soft computing paradigm couples the relevance feedback processor and the matching function into a unified retrieval system.

Purpose – Global cooperation between and within organisations has become essential for successful businesses. For the information management within such an international and necessarily multilingual environment, new challenges arise due to the diversity of the stakeholders and participants as well as due to the heterogeneity of approaches and traditions of information handling.

Design/methodology/approach – Key technologies like search technologies need to be adapted to support content in multiple languages and efficient access to it. Information processes need to be analysed while bearing in mind that problems may arise due to cross-cultural misunderstandings. The diversity requires appropriate treatment and appropriate methods in information systems in order to improve international information flows.

Findings – This chapter identifies some of these challenges and shows how they can be approached from an information science perspective. User-oriented research at the University of Hildesheim in the areas information retrieval, information seeking and human–computer interaction is presented.

Originality/value – Global enterprises and organisations may use this chapter to identify challenges and solutions for adapting their information technology to an international scale. Researchers who work on multilingual information access and intercultural aspects of information systems get an overview on some current research.

David Ellis is Professor in the Department of Information Studies at Aberystwyth University. He was previously lecturer and senior lecturer in the Department of Information Studies, University of Sheffield. He has a PhD and an MA in Information Studies from the University of Sheffield, and a BA in Philosophy and Politics from the University of Durham. His PhD study of the information behaviour of academic social scientists represented one of the first attempts to apply a rigorous qualitative methodology to modelling the information seeking patterns of social science researchers and was subsequently extended to studies of scientists in both academic and industrial research environments. These interests were further developed in the course of the uncertainty in information seeking project carried out in collaboration with researchers at the University of Sheffield and the University of North Texas. Professor Ellis has published extensively in the information studies field, his work has been recognised as representing a distinct, substantive and methodological contribution to the fields of information behaviour and information retrieval research, and is widely cited in both. His current research interests are in the areas of information behaviour, information and knowledge management and information systems. Professor Ellis's professional activities have included service on the UK Research Assessment Exercise, Peer Review Panel for Library and Information Management, and Research Convenor of the Arts and Humanities Research Council (AHRC) Peer Review Panel for Librarianship, Information and Museum Studies. He is a member of the AHRC and the Economics and Social Sciences Research Council (ESRC) Peer Review Colleges and Research Notes Editor of the International Journal of Information Management.

Library and information science (LIS) is an academic, intellectual and industrial field with a large international reach. LIS educates library and information professionals, and is an active field in research and practice with a tradition of research development, standards, networks and distribution worldwide. The field has in recent years experienced a significant growth and development in all parts of the world, however, the field's long-term future is at the same time being challenged by new technologies, education changes and the development of new industries. A refocusing from a library to an information focus is in development within the LIS field. However, the field of information is also being grasped by the technology fields on the one hand and the psychological/behavioural fields on the other. Unfortunately for the field of LIS, information is now everyone's problem and of greater interest to more scientific fields and in addition, industry and government are looking for information management solutions that require technological development based on the psychological quality research. How the LIS field survives over the next 20 years will be played out in educational and industry environments globally.