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Literally Knowledge Organisation is the organisation of knowledge. This organisation is made in order to facilitate the use of documents or recorded knowledge (or other units). Information or knowledge management is essentially a four-step process that includes capturing, organising, refining and disseminating information. The process begins with the capturing of information relevant to the activities and interests of people in an organisation. Such information may be available in a variety of sources, forms and formats. Once information is captured, it needs to be organised using a number of techniques that include cataloguing and indexing, retrieving, filtering, ranking, and so on. Efficiency of an information access system depends largely on the proper organisation of information. Information processing is the acquisition, recording, organisation, retrieval, display, and dissemination of information. Over the years, information science researchers and practitioners have developed and used various techniques for organising information resources of different types. However, off late, with the introduction of information and communication technologies several sophisticated systems have been developed for organisation of information. Libraries and information services have a long history of using various tools for organising information resources. Knowledge Organisation, Information Processing and Retrieval focuses on the various bibliographic and information retrieval tools and techniques used for information organisation, a key activity in a knowledge management process. The book begins with the existing debate on the very concept of knowledge management, and looks at some recent papers and arguments on this issue. It then briefly discusses how some projects over the past decade or so have used various traditional bibliographic organisation tools for providing access to electronic resources.
Learn step-by-step how to develop knowledge-based products for international use! Knowledge Organization and Classification in International Information Retrieval examines current efforts to deal with the increasing globalization of information and knowledge. International authors walk you through the theoretical foundations and conceptual elements behind knowledge management, addressing areas such as the Internet, multinational resources, translations, and information languages. The tools, techniques, and case studies provided in this book will be invaluable to anyone interested in bridging the international information retrieval language gap. This book is divided into four sections that address major themes for internationalized information and knowledge: “General Bibliographic Systems” discusses how bibliographic classification systems can be adapted for specific subjects, the problems with addressing different language expressions, and the future of these systems “Information Organization in Knowledge Resources” explores knowledge organization and classification, focusing mainly on libraries and on the Internet “Linguistics, Terminology, and Natural Language Processing” analyzes the latest developments in language processing and the design of information retrieval tools and resources “Knowledge in the World and the World of Knowledge” addresses the ontological foundations of knowledge organization and classification and knowledge management in organizations from different cultures With this book, you’ll gain a better understanding about the international efforts to globalize: the Dewey Decimal Classification the Library of Congress Classification the Universal Decimal Classification multilingual thesauri Web directories of education-related resources human language technology metadata schemas the North American Industry Classification Figures, tables, charts, and diagrams elucidate the concepts in Knowledge Organization and Classification in International Information Retrieval. Information educators and practitioners as well as specialists in classification and knowledge organization will find this book valuable for its focus on the problems of—and solutions for—information retrieval for specific linguistic, cultural, and domain communities of discourse.
Due to changes in the learning and research environment, changes in the behavior of library users, and unique global disruptions such as the COVID-19 pandemic, libraries have had to adapt and evolve to remain up-to-date and responsive to their users. Thus, libraries are adding new, digital resources and services while maintaining most of the old, traditional resources and services. New areas of research and inquiry in the field of library and information science explore the applications of machine learning, artificial intelligence, and other technologies to better serve and expand the library community. The Handbook of Research on Knowledge and Organization Systems in Library and Information Science examines new technologies and systems and their application and adoption within libraries. This handbook provides a global perspective on current and future trends concerning library and information science. Covering topics such as machine learning, library management, ICTs, blockchain technology, social media, and augmented reality, this book is essential for librarians, library directors, library technicians, media specialists, data specialists, catalogers, information resource officers, administrators, IT consultants and specialists, academicians, and students.
The Elements of Knowledge Organization is a unique and original work introducing the fundamental concepts related to the field of Knowledge Organization (KO). There is no other book like it currently available. The author begins the book with a comprehensive discussion of “knowledge” and its associated theories. He then presents a thorough discussion of the philosophical underpinnings of knowledge organization. The author walks the reader through the Knowledge Organization domain expanding the core topics of ontologies, taxonomies, classification, metadata, thesauri and domain analysis. The author also presents the compelling challenges associated with the organization of knowledge. This is the first book focused on the concepts and theories associated with KO domain. Prior to this book, individuals wishing to study Knowledge Organization in its broadest sense would generally collocate their own resources, navigating the various methods and models and perhaps inadvertently excluding relevant materials. This text cohesively links key and related KO material and provides a deeper understanding of the domain in its broadest sense and with enough detail to truly investigate its many facets. This book will be useful to both graduate and undergraduate students in the computer science and information science domains both as a text and as a reference book. It will also be valuable to researchers and practitioners in the industry who are working on website development, database administration, data mining, data warehousing and data for search engines. The book is also beneficial to anyone interested in the concepts and theories associated with the organization of knowledge. Dr. Richard P. Smiraglia is a world-renowned author who is well published in the Knowledge Organization domain. Dr. Smiraglia is editor-in-chief of the journal Knowledge Organization, published by Ergon-Verlag of Würzburg. He is a professor and member of the Information Organization Research Group at the School of Information Studies at University of Wisconsin Milwaukee.
Integrating the disparate disciplines of descriptive cataloging, subject cataloging, indexing, and classification, the book adopts a conceptual framework that views the process of organizing information as the use of a special language of description called a bibliographic language. Instant electronic access to digital information is the single most distinguishing attribute of the information age. The elaborate retrieval mechanisms that support such access are a product of technology. But technology is not enough. The effectiveness of a system for accessing information is a direct function of the intelligence put into organizing it. Just as the practical field of engineering has theoretical physics as its underlying base, the design of systems for organizing information rests on an intellectual foundation. The subject of this book is the systematized body of knowledge that constitutes this foundation. Integrating the disparate disciplines of descriptive cataloging, subject cataloging, indexing, and classification, the book adopts a conceptual framework that views the process of organizing information as the use of a special language of description called a bibliographic language. The book is divided into two parts. The first part is an analytic discussion of the intellectual foundation of information organization. The second part moves from generalities to particulars, presenting an overview of three bibliographic languages: work languages, document languages, and subject languages. It looks at these languages in terms of their vocabulary, semantics, and syntax. The book is written in an exceptionally clear style, at a level that makes it understandable to those outside the discipline of library and information science.
Knowledge Management has evolved into one of the most important streams of management research, affecting organizations of all types at many different levels. The Encyclopedia of Knowledge Management, Second Edition provides a compendium of terms, definitions and explanations of concepts, processes and acronyms addressing the challenges of knowledge management. This two-volume collection covers all aspects of this critical discipline, which range from knowledge identification and representation, to the impact of Knowledge Management Systems on organizational culture, to the significant integration and cost issues being faced by Human Resources, MIS/IT, and production departments.
In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 types of IR systems. These various system types, in turn, present both technical and management challenges, which are also addressed in this volume. In order to be interoperable in a networked environment, IR systems must be able to use various types of technical standards, a number of which are described in this book—often by their original developers. The book covers the full context of operational IR systems, addressing not only the systems themselves but also human user search behaviors, user-centered design, and management and policy issues. In addition to theory and practice of IR system design, the book covers Web standards and protocols, the Semantic Web, XML information retrieval, Web social mining, search engine optimization, specialized museum and library online access, records compliance and risk management, information storage technology, geographic information systems, and data transmission protocols. Emphasis is given to information systems that operate on relatively unstructured data, such as text, images, and music. The book is organized into four parts: Part I supplies a broad-level introduction to information systems and information retrieval systems Part II examines key management issues and elaborates on the decision process around likely information system solutions Part III illustrates the range of information retrieval systems in use today discussing the technical, operational, and administrative issues for each type Part IV discusses the most important organizational and technical standards needed for successful information retrieval This volume brings together authoritative articles on the different types of information systems and how to manage real-world demands such as digital asset management, network management, digital content licensing, data quality, and information system failures. It explains how to design systems to address human characteristics and considers key policy and ethical issues such as piracy and preservation. Focusing on web–based systems, the chapters in this book provide an excellent starting point for developing and managing your own IR systems.
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Information and Knowledge Organisation explores the role of knowledge organisation in the digital humanities. By focusing on how information is described, represented and organised in both research and practice, this work furthers the transdisciplinary nature of digital humanities. Including contributions from Asia, Australia, Europe, North America and the Middle East, the volume explores the potential uses of, and challenges involved in, applying the organisation of information and knowledge in the various areas of Digital Humanities. With a particular focus on the digital worlds of cultural heritage collections, the book also includes chapters that focus on machine learning, knowledge graphs, text analysis, text annotations, and network analysis. Other topics covered include: semantic technologies, conceptual schemas, and data augmentation, digital scholarly editing, metadata creation, browsing, visualisation and relevance ranking. Most importantly, perhaps, the book provides a starting point for discussions about the impact of information and knowledge organisation and related tools on the methodologies used in the Digital Humanities field. Information and Knowledge Organisation is intended for use by researchers, students and professionals interested in the role information and knowledge organisation plays in the Digital Humanities. It will be essential reading for those working in library and information science, computer science and across the humanities.