The Bibliographic Knowledge Network (BKN), aims to address three fundamental problems of knowledge management: the compartmentalization problem (how to break down barriers that separate disciplines), the navigation problem (how to guide students and researchers within and between disciplines), and the maintenance problem (how to provide incentives for individuals and organizations to improve the quality of publicly accessible knowledge). This multi-institutional collaboration is funded by the National Science Foundation’s Cyber-Enabled Innovation and Discovery program for two years.

As part of the project BKN will create an openly navigable network of web sites with each site (node) dedicated to a specific topic or field of knowledge. This will effectively distill the wealth of heterogeneous data now available. The network will also be analyzed by an array of tools, including bibliometric analysis, machine learning, and statistical visualization analysis. In effect, BKN will construct collaborative authoring tools to analyze and encourage the formation of scientific knowledge networks, revealing hidden connections across sub-fields and disciplines.

A related publication is the Bibliographic Knowledge Network Proposal.

Please contact Micah Altman for detailed information.