TY - GEN
T1 - An automatic graph generation method for scholarly papers based on table structure analysis
AU - Yamada, Ryoya
AU - Ohta, Manabu
AU - Takasu, Atsuhiro
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/9/25
Y1 - 2018/9/25
N2 - 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.
AB - 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.
KW - Automatic graph generation
KW - Table-structure analysis
KW - XML
UR - http://www.scopus.com/inward/record.url?scp=85058631946&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058631946&partnerID=8YFLogxK
U2 - 10.1145/3281375.3281389
DO - 10.1145/3281375.3281389
M3 - Conference contribution
AN - SCOPUS:85058631946
T3 - MEDES 2018 - 10th International Conference on Management of Digital EcoSystems
SP - 132
EP - 140
BT - MEDES 2018 - 10th International Conference on Management of Digital EcoSystems
PB - Association for Computing Machinery, Inc
T2 - 10th International Conference on Management of Digital EcoSystems, MEDES 2018
Y2 - 25 September 2018 through 28 September 2018
ER -