ARIST, published annually since 1966, is a landmark publication within the information science community. It surveys the landscape of information science and technology, providing an analytical, authoritative, and accessible overview of recent trends and significant developments. The range of topics varies considerably, reflecting the dynamism of the discipline and the diversity of theoretical and applied perspectives. While ARIST continues to cover key topics associated with classical information science (e.g., bibliometrics, information retrieval), editor Blaise Cronin is selectively expanding its footprint in an effort to connect information science more tightly with cognate academic and professional communities.
Contents for Volume 38:Science and Technology Studies and Information Studies, by Nancy A. Van HouseNew Theoretic Approaches for Human-Computer Interaction, by Yvonne RogersCommunity and Electronic Community, by David Ellis, Rachel Oldridge, and Ana VasconcelosLatent Semantic Analysis, by Susan T. DumaisThe Use of Web Search Engines in Information Science Research, by Judit Bar-IlanWeb Mining: Machine Learning for Web Applications, by Hsinchun Chen and Michael ChauData Mining in Health and Medical Information, by Peter A. BathIndexing, Browsing, and Searching of Digital Video, by Alan F. SmeatonICT's and Political Life, by Alice Robbin, Christina Courtright, and Leah DavisLegal Aspects of the Web, by Alexandre Lopez Borrull and Charles OppenheimPreservation of Digital Objectives, by Patricia GallowayThe Internet and Unrefereed Scholarly Publishing, by Rob Kling
ARIST, published annually since 1966, is a landmark publication within the information science community. It surveys the landscape of information science and technology, providing an analytical, authoritative, and accessible overview of recent trends and significant developments. The range of topics varies considerably, reflecting the dynamism of the discipline and the diversity of theoretical and applied perspectives. While ARIST continues to cover key topics associated with "classical" information science (e.g., bibliometrics, information retrieval), editor Blaise Cronin is selectively expanding its footprint in an effort to connect information science more tightly with cognate academic and professional communities. Contents of Volume 40 (2006): SECTION I: Information and Society Chapter 1: The Micro- and Macroeconomics of Information, Sandra Braman Chapter 2: The Geographies of the Internet, Matthew Zook Chapter 3: Open Access, M. Carl Drott SECTION II: Technologies and Systems Chapter 4: TREC: An Overview, Donna K. Harman and Ellen M. Voorhees Chapter 5: Semantic Relations in Information Science, Christopher S. G. Khoo and Jin-Cheon Na Chapter 6: Intelligence and Security Informatics, Hsinchun Chen and Jennifer Xu SECTION III: Information Needs and Use Chapter 7: Information Behavior, Donald O. Case Chapter 8: Collaborative Information Seeking and Retrieval, Jonathan Foster Chapter 9: Information Failures in Health Care, Anu MacIntosh-Murray and Chun Wei Choo Chapter 10: Workplace Studies and Technological Change, Angela Cora Garcia, Mark E. Dawes, Mary Lou Kohne, Felicia Miller, and Stephan F. Groschwitz SECTION IV: Theoretical Perspectives Chapter 11: Information History, Alistair Black Chapter 12: Social Epistemology and Information Science, Don Fallis Chapter 13: Formal Concept Analysis in Information Science, Uta Priss.
ARIST, published annually since 1966, is a landmark publication within the information science community. It surveys the landscape of information science and technology, providing an analytical, authoritative, and accessible overview of recent trends and significant developments. The range of topics varies considerably, reflecting the dynamism of the discipline and the diversity of theoretical and applied perspectives. While ARIST continues to cover key topics associated with "classical" information science (e.g., bibliometrics, information retrieval), editor Blaise Cronin is selectively expanding its footprint in an effort to connect information science more tightly with cognate academic and professional communities.
Reviews numerous topics within the broad field of information science and technology and provides this annual source of ideas, trends, and references to the literature.
Historical Information Science is an extensive review and bibliographic essay, backed by almost 6,000 citations, detailing developments in information technology since the advent of personal computers and the convergence of several social science and humanities disciplines in historical computing. Its focus is on the access, preservation, and analysis of historical information (primarily in electronic form) and the relationships between new methodology and instructional media, techniques, and research trends in library special collections, digital libraries, data archives, and museums.
The 25 contributions to this volume, largely reprinted from recent special issues of three information science journals devoted to historical topics, address an array of topics including Paul Otlet and his successors; techniques, tools, and systems; organizations and individuals; theoretical issues; and literature. Annotation copyrighted by Book News, Inc., Portland, OR
As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.
