Publications
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Information modeling and metadata management
See also Courses
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This Web course shows you how
to develop, evaluate, and use information models and metadata management
tools. Models and tools include:
- ontologies;
- topic maps;
- thesauri;
- metadata repositories;
- crosswalks and metadata maps;
- XML schema and style sheets;
- application interfaces.
You can choose to create models for people, content
objects (documents), images, or products and services.
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WHAT YOU WILL LEARN
At the end of the course, you should be able to:
- Select the modeling approach appropriate for your
application;
- Create a metadata repository consistent with your
model;
- Use XML as a device to integrate different applications;
- Create a repository to store standardized names;
- Use custom relationships in an information model.
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 enhance and compliment the full text search function.
We recommend that an interdisciplinary team of two to
four people take the course together.
COURSE FORMAT
The course is conducted via teleconference,
e-mail, and the Web.
TECHNICAL REQUIREMENTS
You'll need Internet access and a Web browser (e.g. Internet Explorer
4 or later, Netscape 5 or later).
COURSE OUTLINE
- Section 1: Information models: what they are,
why you need them
- Metadata repositories
- Ontologies
- Topic maps and the Semantic Web
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- Section 2: How to create an information model (architecture)
- How to do a domain needs analysis
- How to create an information model
- The role of standards
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- Section 3: Software tools and techniques
- Metadata extraction and management tools
- Metadata generation and indexing tools
- Topic map and ontology editors
- Application integration
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- Section 4: Application integration
- How to integrate metadata and HTML authoring tools
- How to integrate metadata and MS Word
- How to use stored metadata to create bibliographies
and indexes
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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.
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ABOUT THE INSTRUCTOR
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;
- build on data structures created in previous Montague
Institute courses.
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 Information Modeling. The Domain
Analysis course will help you create a Lab project with more business
impact, reduce the time needed to complete the Information Modeling course
requirements, and double the amount of both instructor and Lab time available
to you.
COST
$2,750 per person (nonmembers), $2,500 per person
(members of the Society of Knowledge Base Publishers).
Course fee includes Lab access for 60 days and up to 2 hours assistance
via phone and/or e-mail from the instructor.
HOW TO REGISTER
Call (423) 968-5584 to request a pro forma invoice
or provide a credit card number (we accept Visa, MasterCard, American
Express, Diners Club, and Discover).
Created on July 15, 2002 |
Modified on
October 24, 2008
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