Eaton / Computer Science / ACM Press / Google / Human-Computer Interaction Laboratory / Institute for Advanced Computer Studies University / /
Country
United States / / /
Event
Business Partnership / /
Facility
Library of Congress National Digital Library Program / Information Superhighway / Library Science / Library of Congress / Advanced Computer Studies University of Maryland / Library of Congress Collection Browser / College Park College Park / /
IndustryTerm
search parameters / Online Data / enterprise content management systems / federal agency statistical products / search capabilities / federal statistic web sites / Search tools / web search results / web publishing / search criteria / web portal / Web Site Search / search space / /
Organization
Congress / Statistical Agency / National Science Foundation / University of Maryland / Center for Disease Control / U.S. Census Bureau / National Center for Health Statistics / Park College / School of Information and Library Science / /
Person
Leighton / V / Bill Kules / Ben Shneiderman / / /
Position
Governor / survey author / /
ProgrammingLanguage
HTML / /
ProvinceOrState
Maryland / /
PublishedMedium
the ACM Computing Review / Communications of the ACM / /
Submission to 2003 National Conference on Digital Government Research Title: Designing a Metadata -Driven Visual Information Browser for Federal Statistics Authors: Bill Kules and Ben Shneiderman Address: Department of C