An automatic graph generation method for scholarly papers based on table structure analysis

Ryoya Yamada, Manabu Ohta, Atsuhiro Takasu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For papers reporting on experiments, the types of experiment performed are important, as are the results they generate. Tables are frequently used to show experimental results and are suited to understanding accurate numerical values. However, they are not suited to visually comparing or observing changes in many values at once. In this paper, we propose an automatic graph-generation method for data presented in tabular form. We first convert PDF files of scholarly papers into XML files to analyze the structure of their tables. We then generate graphs based on this table-structure analysis. We also examine the types of graphs that are easy to understand visually.

Original languageEnglish
Title of host publicationMEDES 2018 - 10th International Conference on Management of Digital EcoSystems
PublisherAssociation for Computing Machinery, Inc
Pages132-140
Number of pages9
ISBN (Electronic)9781450356220
DOIs
Publication statusPublished - Sep 25 2018
Event10th International Conference on Management of Digital EcoSystems, MEDES 2018 - Tokyo, Japan
Duration: Sep 25 2018Sep 28 2018

Other

Other10th International Conference on Management of Digital EcoSystems, MEDES 2018
CountryJapan
CityTokyo
Period9/25/189/28/18

Keywords

  • Automatic graph generation
  • Table-structure analysis
  • XML

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Environmental Engineering

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  • Cite this

    Yamada, R., Ohta, M., & Takasu, A. (2018). An automatic graph generation method for scholarly papers based on table structure analysis. In MEDES 2018 - 10th International Conference on Management of Digital EcoSystems (pp. 132-140). Association for Computing Machinery, Inc. https://doi.org/10.1145/3281375.3281389