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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.
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.
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.
The relationship between information and power is a relevant subject for all times. Today’s perceived ‘information revolution’ has caused information to become a separate object of study during the last two decades for several disciplines. As the contemporary perspective is dominant, information history as a discipline of its own has not yet crystallized. In bringing together studies around a new research agenda on the relationship between information and power across time and space, presenting various governance regimes, media, materials, and modes of communication, this book forces us to rethink the prospects and challenges for such a new discipline.
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. ​
"Provides a snapshot of the current state of critical information literacy as it is enacted and understood by academic librarians"--
Mixed methods research is becoming prevalent in many fields, yet little has been done to elevate mixed methods research in information science. A comprehensive picture of information science and its problems is needed to further understand and address the issues associated with it as well as how mixed methods research can be adapted and used. The Handbook of Research on Mixed Methods Research in Information Science discusses the quality of mixed methods studies and methodological transparency, sampling in mixed methods research, and the application of theory in mixed methods research throughout various contexts. Covering topics such as the issues and potential directions for further research in mixed methods, this comprehensive major reference work is ideal for researchers, policymakers, academicians, librarians, practitioners, instructors, and students.
Recent catastrophic business failures have caused some to rethinkthe value of the audit, with many demanding that auditors take moreresponsibility for fraud detection. This book provides forensicaccounting specialists?experts in uncovering fraud?with newcoverage on the latest PCAOB Auditing Standards, the ForeignCorrupt Practices Act, options fraud, as well as fraud in China andits implications. Auditors are equipped with the necessarypractical aids, case examples, and skills for identifyingsituations that call for extended fraud detection procedures.