QuQn map: Qualitative-Quantitative mapping of scientific papers Conference Paper uri icon

abstract

  • 2018 Association for Computing Machinery. Mathematical Expressions (ME) and words are carefully bonded in technical writing to characterize physical concepts and their interactions quantitatively, and qualitatively. This paper proposes the Qualitative-Quantitative (QuQn) map as an abstraction of scientific papers to depict the dependency among MEs and their most related adjacent words. QuQn map aims to offer a succinct representation of the reasoning logic flow in a paper. Various filters can be applied to a QuQn map to reduce redundant/indirect links, control the display of problem settings (simple ME variables with declaration), and prune nodes with specific topological properties such as the largest connected subgraph. We developed a visualization tool prototype to support interactive browsing of the technical contents at different granularities of detail.

name of conference

  • Proceedings of the ACM Symposium on Document Engineering 2018

published proceedings

  • PROCEEDINGS OF THE ACM SYMPOSIUM ON DOCUMENT ENGINEERING (DOCENG 2018)

author list (cited authors)

  • Wang, X., Lin, J., Vrecenar, R., & Liu, J.

citation count

  • 0

complete list of authors

  • Wang, Xing||Lin, Jason||Vrecenar, Ryan||Liu, Jyh-Charn

publication date

  • January 2018