Model-based Tagging: Promoting Access to Online Texts on Complex Systems for Interdisciplinary Learning

摘要

The task of biologically inspired design requires designers to access, understand, and apply knowledge of biological systems. One common source for obtaining this kind of knowledge is scholarly biology articles accessed from online libraries and bibliographic databases (e.g., Web of Science, Google Scholar). However, our studies show that such online information environments do not adequately support this kind of interdisciplinary research. Designers need more help with both accessing relevant biology articles and understanding the biological systems that are described in those articles. In this paper, we present Biologue, a social citation cataloging system that uses model-based tagging to address these challenges.