ThisWeb-based
course that shows you how to use metadata in a relational database
to find and manage images. Using texts, examples, worksheets, and
an online Lab, you'll create an image taxonomy (organization scheme)
and archive.
WHAT YOU WILL LEARN
At the end of the course, you should be able to:
specify the requirements for a key business
function that is dependent on images;
create an image taxonomy (organization
scheme);
create an image archive and classify items
with metadata from your taxonomy;
create efficient workflows for using images
in applications.
WHO SHOULD TAKE THIS COURSE This course is designed for Web site publishers, content owners, knowledge
managers, technical writers, e-commerce managers, editors and others who
want to learn how to define the requirements for increasing information
productivity. We recommend that an interdisciplinary team
of two to four people take the course together.
TECHNICAL REQUIREMENTS You'll need Internet access and a Web browser (e.g. Internet Explorer
4 or later, Netscape 5 or later).
COURSE FORMAT The course is conducted via teleconference,
e-mail, and the Web.
COURSE OUTLINE
Section 1: Domain analysis
How to identify and describe the characteristics
of the content, users, and business processes in a key business application
that is dependent on images.
Section 2: Image management architectures
Pros and cons of three major approaches to managing
digital image archives. The relationship of images to other digital
objects.
Section 3: How to create a digital image archive
How to create an "electronic card catalog"
(metadata repository) for images. How to import embedded image metadata.
Section 4: How to create a subject taxonomy for
images
How to create categories, a topic hierarchy, keywords,
and thesaurus. How to assign subject metadata to images. Pros and cons
of "folk taxonomies" and professionally developed organization
schemes.
Section 5: How to create efficient and user-friendly
applications
How to create features and retrieval tools that
save users time in finding and using images.
click image to enlarge
Lab
The course requires you to select a project and gather Lab data
for a real-world application. To save time, most data can be imported
via Excel worksheets. The instructor will help you select and define
your project, assemble required data, and assist you in using a
private, passworded work area in the Web-based
Lab. Communication with the instructor is via phone and e-mail.
At the conclusion of the course, the instructor
will help you identify lessons learned. Your Lab data can be exported
and saved as an Excel file. After exporting, it will be permanently
deleted from our server unless you arrange for long term hosting.
You have 60 days to complete the Lab portion of the course.
You can contract for a custom, hosted version
of the Lab as well as a custom version to install on your own server.
ABOUT THE AUTHOR Jean Graef is a "boundary spanner"
with an interdisciplinary background as a manager, entrepreneur, librarian,
programmer, and journalist. She has been developing and conducting seminars
on cutting edge information topics since the early 1980's.
DATE & TIME You can start the Web course at any time and proceed at your own pace.
You do not have to wait for a class to form. The amount of work involved
is roughly equivalent to a semester's course at the graduate level. Most
people can complete the course in three to six months. To minimize the
time commitment without compromising the educational experience, you can:
take the course as an interdisciplinary team;
narrow the scope of your Lab project;
extract data from existing corporate systems when
possible;
submit Lab data on Excel worksheets for importing
instead of manually entering Lab data;
INSTRUCTIONAL OPTIONS This course can be taught by one of our
instructors on site at your facility (minimum 6 participants) or you can
become licensed to teach the course as a Montague
Fellow in Knowledge Base Publishing.
PREREQUISITES We highly recommend that you take the Knowledge
Domain Analysis course prior to taking Organizing Images. The Domain
Analysis course will help you create a Lab project with more business
impact, reduce the time needed to complete the Organizing Images course
requirements, and double the amount of both instructor and Lab time available
to you.
HOW TO REGISTER
Call (413) 367-0245 to request a pro forma invoice or provide a credit
card number (we accept Visa, MasterCard, American Express, Diners Club,
and Discover). Payment must be received before your start date.
Created on November 29, 2002 | Updated on
May 6, 2006
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