The Internet and World Wide Web have made access to information easy but do not solve the problems of finding exactly what is wanted, to the point of overwhelming the reader with information. Since the first edition of this classic librarianship text appeared, the development of computer technology has meant that the organization of information has become a hugely complex area. This fifth edition places emphasis on the intellectual effort required to make meaningful use of the enormous amount of information now accessible to the searcher. Fully revised and updated in comprehensive detail that includes bibliographies, ample examples and quotations, it focuses on: information retrieval systems database access systems online searching and OPACs hypertext networked systems. Foskett describes how we search for information by looking at the problems involved, at the theoretical principles suggested as solutions and their practical realization as classification schemes, lists of subject headings and thesauri. Readership: This influential text is widely acknowledged to be essential reading for all students of librarianship and information management, and an invaluable reference tool for practising library and information professionals.

Information science has for a long time been drawing on the knowledge produced in psychology and related fields. This is reasonable, for the central issue in information science concerns individual users navigating information spaces such as libraries, databases, and the Internet. Thus, information seeking is the fundamental problem in information science, while other problems, such as document representation, are subordinate. This book proposes a general theory of information seeking as a theoretical basis for information science. The volume begins with an examination of subject representation and retrieval. It then considers subject analysis and the organization of knowledge, the interpretational processes by which documents are analyzed, and their explicit subject retrieval data are created. Existing theories are then criticized from four epistemological perspectives, and the author argues that information science should be based on methodological collectivism, in which society, rather than the individual, determines the meaning of knowledge. The work then analyzes information seeking as a methodologically collectivistic activity. The volume begins with an examination of subject representation and retrieval. It then considers subject analysis and the organization of knowledge, the interpretational processes by which documents are analyzed, and their explicit subject retrieval data are created. Existing theories are then criticized from four epistemological perspectives, and the author argues that information science should be based on methodological collectivism, in which society, rather than the individual, determines the meaning of knowledge. The work then analyzes information seeking as a methodologically collectivistic activity.

Information science has for a long time been drawing on the knowledge produced in psychology and related fields. This is reasonable, for the central issue in information science concerns individual users navigating information spaces such as libraries, databases, and the Internet. Thus, information seeking is the fundamental problem in information science, while other problems, such as document representation, are subordinate. This book proposes a general theory of information seeking as a theoretical basis for information science. The volume begins with an examination of subject representation and retrieval. It then considers subject analysis and the organization of knowledge, the interpretational processes by which documents are analyzed, and their explicit subject retrieval data are created. Existing theories are then criticized from four epistemological perspectives, and the author argues that information science should be based on methodological collectivism, in which society, rather than the individual, determines the meaning of knowledge. The work then analyzes information seeking as a methodologically collectivistic activity. The volume begins with an examination of subject representation and retrieval. It then considers subject analysis and the organization of knowledge, the interpretational processes by which documents are analyzed, and their explicit subject retrieval data are created. Existing theories are then criticized from four epistemological perspectives, and the author argues that information science should be based on methodological collectivism, in which society, rather than the individual, determines the meaning of knowledge. The work then analyzes information seeking as a methodologically collectivistic activity.

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.

From the bestselling author of the acclaimed Chaos and Genius comes a thoughtful and provocative exploration of the big ideas of the modern era: Information, communication, and information theory. Acclaimed science writer James Gleick presents an eye-opening vision of how our relationship to information has transformed the very nature of human consciousness. A fascinating intellectual journey through the history of communication and information, from the language of Africa’s talking drums to the invention of written alphabets; from the electronic transmission of code to the origins of information theory, into the new information age and the current deluge of news, tweets, images, and blogs. Along the way, Gleick profiles key innovators, including Charles Babbage, Ada Lovelace, Samuel Morse, and Claude Shannon, and reveals how our understanding of information is transforming not only how we look at the world, but how we live. A New York Times Notable Book A Los Angeles Times and Cleveland Plain Dealer Best Book of the Year Winner of the PEN/E. O. Wilson Literary Science Writing Award

This book presents selected papers from the 10th International Conference on Information Science and Applications (ICISA 2019), held on December 16–18, 2019, in Seoul, Korea, and provides a snapshot of the latest issues regarding technical convergence and convergences of security technologies. It explores how information science is at the core of most current research as well as industrial and commercial activities. The respective chapters cover a broad range of topics, including ubiquitous computing, networks and information systems, multimedia and visualization, middleware and operating systems, security and privacy, data mining and artificial intelligence, software engineering and web technology, as well as applications and problems related to technology convergence, which are reviewed and illustrated with the aid of case studies. Researchers in academia, industry, and at institutes focusing on information science and technology will gain a deeper understanding of the current state of the art in information strategies and technologies for convergence security. ​

The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.