Web Annotator
(Beta Version)

A paper presented at ACM's SIGCSE Conference describing the Web Annotator can be found as a MS Word document (474KB), or a pdf file (500KB).

To use Web Annotator, you must be using Internet Explorer 5.5 (or greater) on Windows. To share your annotations with others, you need to have a server running (not part of this installation yet).

To install, right-click on this 1 Meg zip file to save it to your disk.

  1. Unzip to some directory
  2. Go to that directory and go into the WebAnnotatorSetup folder
  3. Select the Setup program.
  4. Choose a directory into which you will install the Annotator program. The http server address can be left blank for now. There is an unsupported demo server address you can use (for now) at http://muffin.ai.uic.edu:8080/Annotator/AnnotatorExtension
  5. That's it! Now launch Internet Explorer (IE).
  6. From within IE, go to the View menu, and select the Toolbars submenu. Select Annotate.
  7. Start your annotations!
  8. For help, see the rightmost icon on the Annotator toolbar. These can also be found by selecting the yellow "WebAnnotator" question mark in the installation directory.

Web Annotator is a software tool that allows adding, deleting, and modifying components of a client's browser-based view of web pages.
Copyright © 2002-2003 by Dale Reed and Sam John

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License (http://www.gnu.org/licenses/gpl.txt) for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.

Dale Reed, reed @ uic.edu

This material is based in part upon work supported by the National Science Foundation (NSF) Awards #9809497 and #0003883. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.