| |  | Shiffrin, Richard M. | Mapping knowledge domains read moreAbstract: The term "mapping knowledge domains" was chosen to describe a newly evolving interdisciplinary area of science aimed at the process of charting, mining, analyzing, sorting, enabling navigation of, and displaying knowledge. This field is aimed at easing information access, making evident the structure of knowledge, and allowing seekers of knowledge to succeed in their endeavors. Although thousands of years old, this area has undergone a sea change in the last 15 years, a change fostered by an explosion of the amount of information available, the accessibility of that information due to electronic storage, and the new techniques of analysis, retrieval, and visualization that are made possible by vast increases in computational storage capacity and processing speed and power. Many of us are so involved in the new ways of accessing knowledge that we have forgotten how recent is the change to computerized knowledge retrieval with search engines operating on the World Wide Web. Remarkable as these changes are to date, they are only a hint of the transformation to come. The Arthur M. Sackler Colloquium on Mapping Knowledge Domains, held at the Arnold and Mabel Beckman Center of the National Academies of Sciences and Engineering in Irvine, CA, May 9-11, 2003, was designed to showcase the ongoing developments in this transformation and provide pointers toward the directions it will move. | 2004 |
| |  | Borner, K. | Visualizing knowledge domains read moreAbstract: This chapter reviews visualization techniques that can not only be utilized to map the evergrowing
domain structure of scientific disciplines but that also support information retrieval and
classification. In contrast to the comprehensive surveys done in a traditional way by Howard
White and Katherine McCain (1997; 1998), the current survey not only reviews emerging
techniques in interactive data analysis and information visualization, but also visualizes
bibliographical structures of the field as an integral part of our methodology. The chapter starts
with a review of the history of knowledge domain visualizations. We then introduce a general
process flow for the visualization of knowledge domains and explain commonly used techniques.
In the interest of visualizing the domain this article reviews, we introduce a bibliographic data set
of considerable size, which includes articles from the citation analysis, bibliometrics, semantics,
and visualization literatures. Using a tutorial style, we then apply various algorithms to
demonstrate the visualization effects produced by different approaches and compare the different
visualization results. At the same time, the domain visualizations reveal the relationships within
and between the four fields that together form the topic of this chapter, domain visualization. We
conclude with a discussion of promising new avenues of research and a general discussion. | 2003 |