First Published in 2005. Routledge is an imprint of Taylor & Francis, an informa company.

This book deals with the rapid changes in contemporary molecular biology, particularly genome sciences, and the manner in which they can be understood through the lens of political economy. Specifically, the work investigates the case of the United States-led Genome Project (HGP), in order to show that even large-scale basic science is closely bound up in the progression of capitalist social relations. The work has, in part, been motivated by the lack of rigorous analysis of the HGP. Most the existing literature tends to present either a chronological review of events surrounding the HGP or describe it thematically. In contrast, this book contributes to a needed discussion concerning the 'why and how' of the HGP emergence. It elucidates the features within capitalist social relations which have simultaneously enable the HGP and ensure its amenability to systemic demands. The work's most compelling elements are both historical and analytical. Historically, it places the HGP within the context of wider political, economic and social issues. Related to this, it puts forward an analytical, explanatory understanding of the project's emergence, making it a valuable tool for both political economists, science & society theorists, and even bioethicists.

Knowledge Networks describes the role of networks in the knowledge economy, explains network structures and behaviors, walks the reader through the design and setup of knowledge network analyses, and offers a step by step methodology for conducting a knowledge network analysis.

This text offers students on the dynamic and diverse field of computer science. [In the text, the authors] provide [an] overview of the many aspects of the discipline from a generic view point. Separate program language chapters are available as bundle items for those instructors who would like to explore a particular programming language with their students. The many layers of computing are thoroughly explained beginning with the information layer, working through the hardware, programming, operating systems, application, and communication layers, and ending with a discussion on the limitations of computing. [It is] for introductory computing and computer science courses. [It is also for] computer science majors with a solid foundation for further study, and offers non majors a comprehensive and complete introduction to computing.

Knowledge Architectures reviews traditional approaches to managing information and explains why they need to adapt to support 21st-century information management and discovery. Exploring the rapidly changing environment in which information is being managed and accessed, the book considers how to use knowledge architectures, the basic structures and designs that underlie all of the parts of an effective information system, to best advantage. Drawing on 40 years of work with a variety of organizations, Bedford explains that failure to understand the structure behind any given system can be the difference between an effective solution and a significant and costly failure. Demonstrating that the information user environment has shifted significantly in the past 20 years, the book explains that end users now expect designs and behaviors that are much closer to the way they think, work, and act. Acknowledging how important it is that those responsible for developing an information or knowledge management system understand knowledge structures, the book goes beyond a traditional library science perspective and uses case studies to help translate the abstract and theoretical to the practical and concrete. Explaining the structures in a simple and intuitive way and providing examples that clearly illustrate the challenges faced by a range of different organizations, Knowledge Architectures is essential reading for those studying and working in library and information science, data science, systems development, database design, and search system architecture and engineering.

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater

Revised and updated with the latest information in the field, the Fourth Edition of Computer Science Illuminated continues to engage and enlighten students on the fundamental concepts and diverse capabilities of computing. Written by two of today’s most respected computer science educators, Nell Dale and John Lewis, the text provides a broad overview of the many aspects of the discipline from a generic view point. Separate program language chapters are available as bundle items for those instructors who would like to explore a particular programming language with their students. The many layers of computing are thoroughly explained beginning with the information layer, working through the hardware, programming, operating systems, application, and communication layers, and ending with a discussion on the limitations of computing. Perfect for introductory computing and computer science courses, the fourth edition's thorough presentation of computing systems provides computer science majors with a solid foundation for further study, and offers non-majors a comprehensive and complete introduction to computing.