Arist 38 Annual Review Of Information Science And Technology

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

Since 1966, "ARIST has been continuously at the cutting edge in contributing a useful and comprehensive view of the broad field of information science and technology. "ARIST reviews numerous topics within the field and ultimately provides this annual source of ideas, trends, and references to the literature. The series encompasses the entire field in all its aspects, and topics for the annual volume are selected on the basis of timeliness and an assessment of reader interest.

Aiming at ensuring that everyone obtains the rich rewards available in today's information-centred society, this book seeks to provide a systematic method for the understanding, appreciation and evaluation of information needs, which alone can guarantee the value of information to the consumer. Based on the insights gained from research projects involving hundreds of thousands of people, it sets out to provide a framework, firmly grounded in theory but nevertheless highly practical, for information needs analysis. The book is written both for librarians, publishers, archivists, records managers, journalists and other information professionals, to help them in their efforts to design improved systems and monitor the effectiveness of their services on an ongoing basis, and for individual information consumers, to enable them better to meet their own information needs in the expanding sphere of virtual information.

Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance. Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective. Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues. Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense). The book concludes with a discussion of critical issues and challenges, with a look to future directions. This book is an excellent source of current information for researchers in public health and IT. Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.

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.

The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book

This book on Infectious Disease Informatics (IDI) and biosurveillance is intended to provide an integrated view of the current state of the art, identify technical and policy challenges and opportunities, and promote cross-disciplinary research that takes advantage of novel methodology and what we have learned from innovative applications. This book also fills a systemic gap in the literature by emphasizing informatics driven perspectives (e.g., information system design, data standards, computational aspects of biosurveillance algorithms, and system evaluation). Finally, this book attempts to reach policy makers and practitioners through the clear and effective communication of recent research findings in the context of case studies in IDI and biosurveillance, providing “hands-on” in-depth opportunities to practitioners to increase their understanding of value, applicability, and limitations of technical solutions. This book collects the state of the art research and modern perspectives of distinguished individuals and research groups on cutting-edge IDI technical and policy research and its application in biosurveillance. The contributed chapters are grouped into three units. Unit I provides an overview of recent biosurveillance research while highlighting the relevant legal and policy structures in the context of IDI and biosurveillance ongoing activities. It also identifies IDI data sources while addressing information collection, sharing, and dissemination issues as well as ethical considerations. Unit II contains survey chapters on the types of surveillance methods used to analyze IDI data in the context of public health and bioterrorism. Specific computational techniques covered include: text mining, time series analysis, multiple data streams methods, ensembles of surveillance methods, spatial analysis and visualization, social network analysis, and agent-based simulation. Unit III examines IT and decision support for public health event response and bio-defense. Practical lessons learned in developing public health and biosurveillance systems, technology adoption, and syndromic surveillance for large events are discussed. The goal of this book is to provide an understandable interdisciplinary IDI and biosurveillance reference either used as a standalone textbook or reference for students, researchers, and practitioners in public health, veterinary medicine, biostatistics, information systems, computer science, and public administration and policy.