Arthur M. Sackler Colloquium on "Mapping Knowledge Domains"
The colloquium was sponsored by the National Academy of Sciences and took place May 9-11, 2003 in the Beckman Center of the National Academy of Sciences, Irvine, CA.
Organizer | Motivation & Description | Database | Program | Calls for Papers |Press Coverage
Colloquium
Map by Ron Wild
Complexity Digest Entries on the
Colloquium:
http://www.comdig.org/ComDig03/ComDig03-19/index.htm
http://www.comdig2.de/Conf/NASSCMKD2003/
Essays / Papers on "Mapping
the World of Science" provided by Eugene Garfield and his colleagues
Best-Domain-Visualizations
slide show compiled by Katy Borner & Ketan Mane
Symposium
Organizer
Richard M. Shiffrin
Psychology Department, Indiana
University,
Bloomington, IN 47405
tel: 812-855-4972, fax:
812-855-1086,
email: shiffrin@indiana.edu
Associate Organizer
Katy Börner
School of Library and Information
Science, Indiana University, Bloomington, IN 47405
tel: 812-855-3256, fax:
812-855-6166,
email: katy@indiana.edu
Organizing Committee
Kevin Boyack, Sandia National
Laboratories
Chaomei Chen, Drexel University
Susan Dumais, Microsoft Corporation
Jon Kleinberg, Cornell University
Thomas K. Landauer, University of
Colorado
Josh Tenenbaum, Massachusetts
Institute
of Technology
Motivation
& Description
The information explosion in
recent
years, often in the form of information available electronically, has
sparked
development of a new interdisciplinary area of science aimed at
charting,
mining, analyzing, sorting, and displaying interesting and important
aspects
of this knowledge and information. Indeed, progress in this area is
critically
important for the functioning of modern society, and particularly for
the
growth of scientific research, because without such tools it has become
almost impossible to find and organize relevant information. We
therefore
propose a Sackler Colloquium aimed to highlight the many facets of this
emerging field.
Mapping of knowledge domains is facilitated by the increase in processing power and the availability of large amounts of publication, patent, grant, and other data increasingly available in electronic form. Knowledge mapping is still in its infancy and for the foreseeable future won't serve as a replacement for human judgment, search, and decision-making, but tools now available already support and complement human judgment in critical ways. In particular they make available to human analysts patterns of data that would not be possible to obtain by other methods. Among other benefits, the new techniques could be utilized to identify:
Important issues and new developments that might be discussed in the Sackler Colloquium:
A) Goals [E.g. science
structure,
vitality and changes over time; maps of impact, importance and funding;
exploration and search of large databases]
B) Entities to be mapped [E.g.
names,
terms, topics, articles, science departments]
C) Representations of the data
[E.g.
similarity spaces, 2-D/3-D maps, tables, vectors.]
D) Data sources
E) Algorithms for production and
compression of the data representations.
F) Algorithms and methods for
mining
the representations once they are produced.
G) Methods for searching the
representations.
H) Methods for (online) adaptive
visualization and display.
Database
A major goal of the proposed
colloquium
is to demonstrate and compare different techniques, algorithms, and
approaches
that can be utilized to map knowledge domains.
In order to facilitate this goal,
registered participants are eligible to utilize the so called PNAS
Data
Set. The data set comprises full text documents from the
Proceedings
of the National Academy of Sciences covering 01-07-1997 to
09-17-2002
(148 issues containing some 93,000 journal pages). The data is
available
on Microsoft Access 97 format.
Program
Click on icons to access real
audio
files and Power Point slides
Friday May 9th, 2003
2:00p Welcome by Richard
Shiffrin
& Katy Börner, Indiana University
2:15p Keynote Address: A
Historiograph of Mapping Knowledge Domains by Eugene Garfield, ISI,
Founder
& Chairman Emeritus of the Institute for Scientific
Information ![]()
3:30 - 4:00pm Break
Session 1: Data Bases,
Data
Format & Access
Session Chair: Jon Kleinberg
4:00am Extracting Knowledge from
the World Wide Web by Monika Henzinger
& Steve Lawrence
,
Google
5:30am Mapping Subsets of
Scholarly
Information by Paul Ginsparg, Cornell University ![]()
Reception
Saturday May 10th, 2003
Session 2: Data Analysis
Algorithms
Session Chair: Mark Steyvers
9:00am From Paragraph to Graph by
Thomas Landauer & Darrell Laham, University of Colorado ![]()
9:45am The Structure of Scientific
Collaboration Networks by Mark Newman, University of Michigan
10:30 - 11:00 Break
11:00am Poster and System Demo Session
12:30 - 2:00pm Lunch
Session Chair: Richard
Shiffrin
2:00pm Using Mixed Membership
Models
for Mapping Knowledge Domains by Elena Erosheva, University of
Washington,
Stephen Fienberg, Carnegie Mellon University & John Lafferty,
Carnegie
Mellon University ![]()
2:45pm Topic Dynamics in Knowledge
Domains by Tom Griffiths, Stanford University & Mark Steyvers,
University
of California ![]()
3:30 - 4:00pm Break
Session Chair: Howard White
4:00pm Enhancing Web Sites With
Usage Data by Jonathan Aizen, Daniel Huttenlocher, Jon Kleinberg &
Antal Novak, Cornell University ![]()
4:45pm Combining Bibliometric and
Knowledge Elicitation Techniques to Map a Knowledge Domain by Kate
McCain,
Drexel University ![]()
6:00pm Dinner
Poster Presentations [Web Video]
Sunday May 11th, 2003
Session 3: Visualization
&
Interaction Design
Session Chair: Andre Skupin
9:00am Information Seeking and
Objects
of Visual Attention by Colin Ware, University of New Hampshire ![]()
9:45am Geovisualization for
Constructing
and Sharing Concepts by Alan M. MacEachren, Mark Gahegan & William
Pike, Pennsylvania State University ![]()
10:30 - 11:00 Break
Session Chair: Steven Morris
11:00am Paradigms, Debates, and
Puzzles in Science: A Visual Exploration by Chaomei Chen, Drexel
University
11:45am The Simultaneous Evolution
of Article and Author Networks in PNAS by Katy Börner, Jeegar Maru
& Robert Goldstone, Indiana University ![]()
12:30 - 2:00 pm Lunch
Session 4: Promising
Applications
Session Chair: Richard Shiffrin
2:00pm Visualizing Search Results,
Susan Dumais, Microsoft Corporation ![]()
2:45pm Analysis Experiences
Using
Information Visualization by Beth Hetzler & Alan Turner, Pacific
Northwest,
National Laboratory
3:30 - 4:00pm Break
Session Chair: Richard
Klavans
4:00pm An Indicator-Based
Characterization
of the Proceedings of the National Academy of Sciences by Kevin Boyack,
Sandia National Laboratories ![]()
4:45pm Mapping: From Science
Papers
to Technology Patents and on to Company Financial Performance by
Francis
Narin, President of CHI Research, Inc.
5:30pm Final Panel Discussion