Next Generation Search Engines: Advanced Models for Information Retrieval

"This book is intended for scientists and decision-makers who wish to gain working knowledge of searches in order to evaluate available solutions and to dialogue with software and data providers. It also targets intranet or Web server designers, developers and administrators who wish to understand how to integrate search technology into their applications according to their needs. This book is further designed for designers, developers and administrators of databases, groupware applications and document management systems (EDM), as well as directors of libraries or documentation centers who seek a deeper understanding of the tools they use, and how to set up new information systems. Lastly, this book is aimed at all professionals in technology or competitive intelligence and, more generally, the specialists of the information market."

This collection of 20 essays explores next-generation search engines, covering topics such as indexing, metadata, semantic models and search-engine interfaces. The essays offer a truly international perspective on developments in next-generation search engines. This book is comprehensively researched and detailed and is recommended for those involved in the development and implementation of information-retrieval models. It is also likely to be of interest to those wishing to learn more about next-generation search engines and the current trends in information-retrieval models.

This work is abundant in innovative ideas, new concepts, and real-world practices. The realization or implementation of the perspectives and models included in the book may result in real advances and substantive changes in information markets. Advanced students, academics and researchers, as well as knowledge workers, information and computer scientists and web designers, can benefit from reading this work.