Annual Review Of Information Science And Technology

Annual Review of Information Science and Technology

Annual Review of Information Science and Technology

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.

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