Alexandra Poulovassilis

Barry Eaglestone

Siobhan North

This book constitutes the refereed proceedings of the 19th British National Conference on Databases, BNCOD 2002, held in Sheffield, UK, in July 2002. The 10 revised full papers and 9 posters presented together with one invited paper were carefully reviewed and selected for inclusion in the volume. The book offers topical sections on query processing, data warehousing and data mining, quality and integrity, and web and distributed databases.

19th British National Conference on Databases, BNCOD 19, Sheffield, UK, July 17-19, 2002. Proceedings

Advances in Databases

Larry Kerschberg

Peter M.D. Gray

Peter J.H. King

It is over 20 years since the functional data model and functional programming languages were first introduced to the computing community. Although developed by separate research communities, recent work, presented in this book, suggests there is powerful synergy in their integration. As database technology emerges as central to yet more complex and demanding applications in areas such as bioinformatics, national security, criminal investigations and advanced engineering, more sophisticated approaches like those presented here, are needed. A tutorial introduction by the editors prepares the reader for the chapters that follow, written by leading researchers, including some of the early pioneers. They provide a comprehensive treatment showing how the functional approach provides for modeling, analyzis and optimization in databases, and also data integration and interoperation in heterogeneous environments. Several chapters deal with mathematical results on the transformation of expressions, fundamental to the functional approach. The book also aims to show how the approach relates to the Internet and current work on semistructured data, XML and RDF. The book presents a comprehensive view of the functional approach to data management, bringing together important material hitherto widely scattered, some new research, and a comprehensive set of references. It will serve as a valuable resource for researchers, faculty and graduate students, as well as those in industry responsible for new systems development.

Modeling, Analyzing and Integrating Heterogeneous Data

The Functional Approach to Data Management

Henry Etzkowitz

Colette Henry

Helen Lawton Smith

Gender, Science and Innovation explores the contemporary challenges facing women scientists in academia and develops effective strategies to improve gender equality. Addressing an important gap in current knowledge, chapters offer a range of international perspectives from diverse contexts, countries and institutional settings. This book is an essential contribution to the literature for academics, researchers and policy makers concerned with improving gender equality in academia and seeking to learn from the experiences of others.

New Perspectives

Gender, Science and Innovation

Mark Levene

The World Wide Web has become a ubiquitous global tool, used for finding infor mation, communicating ideas, carrying out distributed computation and conducting business, learning and science. The Web is highly dynamic in both the content and quantity of the information that it encompasses. In order to fully exploit its enormous potential as a global repository of information, we need to understand how its size, topology and content are evolv ing. This then allows the development of new techniques for locating and retrieving information that are better able to adapt and scale to its change and growth. The Web's users are highly diverse and can access the Web from a variety of devices and interfaces, at different places and times, and for varying purposes. We thus also need techniques for personalising the presentation and content of Web based information depending on how it is being accessed and on the specific user's requirements. As well as being accessed by human users, the Web is also accessed by appli cations. New applications in areas such as e-business, sensor networks, and mobile and ubiquitous computing need to be able to detect and react quickly to events and changes in Web-based information. Traditional approaches using query-based 'pull' of information to find out if events or changes of interest have occurred may not be able to scale to the quantity and frequency of events and changes being generated, and new 'push' -based techniques are needed.

Adapting to Change in Content, Size, Topology and Use

Web Dynamics

Alexandra Poulovassilis

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