Classification now has to encompass ’non-physical’ media such as the Internet, yet still ensure access to knowledge held in traditional physical forms on library shelves. What does this mean for the future, and can classification cope with the virtual library? Written by a group of internationally-known specialists, this book reassesses traditional classification principles and the extent to which they provide the right basis for modern information storage and retrieval. First posing the radical question of whether classification is still really necessary, the book proceeds by emphasizing the need for systematic knowledge organization, with two chapters concentrating on classification in relation to IT and the Internet. Later chapters re-examine how present systems - Dewey Decimal Classification, Universal Decimal Classification and Library of Congress Classification - are likely to adapt, and provide a wealth of information sources for investigating the subject further. The Future of Classification delves deep into what makes knowledge-seeking successful. Those studying information storage and retrieval, and managers wanting to improve retrieval methods on which their service depends should read it.

This book covers all of the major library classification schemes in use in Europe, UK and US; it includes practical exercises to demonstrate their application. Importantly, classifying electronic resources is also discussed. The aim of the book is to demystify a very complex subject, and to provide a sound theoretical underpinning, together with practical advice and development of practical skills. The book fills the gap between more complex theoretical texts and those books with a purely practical approach. Chapters concentrate purely on classification rather than cataloguing and indexing, ensuring a more in-depth coverage of the topic. - Covers the latest Dewey Decimal Classification, 22nd edition - Provides practical advice on which schemes will be most suitable for different types of library collection - Covers classification of electronic resources and taxonomy construction

Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty. This book focuses on classification--allocating objects into categories--"in the wild," in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning.

Note about this ebook: This ebook exploits many advanced capabilities with images, hypertext, and interactivity and is optimized for EPUB3-compliant book readers, especially Apple's iBooks and browser plugins. These features may not work on all ebook readers. We organize things. We organize information, information about things, and information about information. Organizing is a fundamental issue in many professional fields, but these fields have only limited agreement in how they approach problems of organizing and in what they seek as their solutions. The Discipline of Organizing synthesizes insights from library science, information science, computer science, cognitive science, systems analysis, business, and other disciplines to create an Organizing System for understanding organizing. This framework is robust and forward-looking, enabling effective sharing of insights and design patterns between disciplines that weren’t possible before. The Professional Edition includes new and revised content about the active resources of the "Internet of Things," and how the field of Information Architecture can be viewed as a subset of the discipline of organizing. You’ll find: 600 tagged endnotes that connect to one or more of the contributing disciplines Nearly 60 new pictures and illustrations Links to cross-references and external citations Interactive study guides to test on key points The Professional Edition is ideal for practitioners and as a primary or supplemental text for graduate courses on information organization, content and knowledge management, and digital collections. FOR INSTRUCTORS: Supplemental materials (lecture notes, assignments, exams, etc.) are available at http://disciplineoforganizing.org. FOR STUDENTS: Make sure this is the edition you want to buy. There's a newer one and maybe your instructor has adopted that one instead.

The cataloging and classification field is changing rapidly. New concepts and models, such as linked data, identity management, the IFLA Library Reference Model, and the latest revision of Resource Description and Access (RDA), have the potential to change how libraries provide access to their collections. To prepare library and information science (LIS) students to be successful cataloging practitioners in this changing landscape, they need a solid understanding of fundamental cataloging concepts, standards, and practices: their history, where they stand currently, and possibilities for the future. The chapters in Cataloging and Classification: Back to Basics are meant to complement textbooks and lectures so students can go deeper into specific topics. New and well-seasoned library practitioners will also benefit from reading these chapters as a way to refresh or fill gaps in their knowledge of cataloging and classification. The chapters in this book were originally published as a special issue of the journal, Cataloging & Classification Quarterly.

The classification of services in the digital economy proves critical for doing business, but it appears to be a particularly complex regulatory matter that is based upon a manifold set of issues. In the context of the General Agreement on Trade in Services (GATS), when the services classification scheme was drafted in the early 1990s, convergence processes had not unfolded yet and the internet was still in its infancy and not a reality in daily life. Therefore, policy makers are now struggling with the problem of regulating trade in electronic services and are in search of a future-oriented solution for classifying them in multilateral and preferential trade agreements. In late fall 2011, the authors of this study were mandated by the European Union, Delegation to Vietnam, in the context of the Multilateral Trade Assistance Project 3 (MUTRAP 3), to work out a report clarifying the classification of services in the information/digital economy and to assess the impact of any decision regarding the classifications on the domestic and external relations policy of Vietnam, as well as to discuss the relevant issues with local experts during three on-site visits.

Bringing together several key elements needed to identify the most promising themes for future research in selection and classification, this book's underlying aim is to improve job performance by selecting the right persons and matching them most effectively with the right jobs. An emphasis is placed on current, innovative research approaches which in some cases depart substantially from traditional approaches. The contributors -- consisting of professionals in measurement, personnel research, and applied and military psychology -- discuss where the quantum advances of the last decade should take us further. Comprehensive coverage of the selection and classification domain is provided, including a broad range of topics in each of the following areas: performance conceptualization and measurement, individual differences, and selection and classification decision models. The presentations in each of these areas are integrated into a set of coherent themes. This integration was the product of structured group discussions which also resulted in a further evolution of some of the ideas presented.