TY - GEN
T1 - Cluster analysis of scientific citation context
AU - Nakatoh, Tetsuya
AU - Nagatani, Kenta
AU - Kanekawa, Kumiko
AU - Suzuki, Takahiro
AU - Hirokawa, Sachio
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP-15K00426.
Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/12/4
Y1 - 2017/12/4
N2 - Investigation of related research is a very important task for researchers. In recent years, databases of academic papers have been developed, and researchers can search for related research using keywords and so on. However, it is a very time-consuming task to discover appropriate papers exhaustively from a large number of academic papers, classify them, and understand their contents. We have been researching methods that can properly extract papers of related research from an academic paper database. After finding those papers, researchers need to understand the relationship between those papers. We believe that there are several types of relations between papers that appear in citation expressions of related papers. In this paper, automatic classification of citation expressions is performed as the first step in the analysis of citation expressions, and the analysis results of each cluster are reported.
AB - Investigation of related research is a very important task for researchers. In recent years, databases of academic papers have been developed, and researchers can search for related research using keywords and so on. However, it is a very time-consuming task to discover appropriate papers exhaustively from a large number of academic papers, classify them, and understand their contents. We have been researching methods that can properly extract papers of related research from an academic paper database. After finding those papers, researchers need to understand the relationship between those papers. We believe that there are several types of relations between papers that appear in citation expressions of related papers. In this paper, automatic classification of citation expressions is performed as the first step in the analysis of citation expressions, and the analysis results of each cluster are reported.
UR - http://www.scopus.com/inward/record.url?scp=85044285830&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044285830&partnerID=8YFLogxK
U2 - 10.1145/3151759.3151811
DO - 10.1145/3151759.3151811
M3 - Conference contribution
AN - SCOPUS:85044285830
T3 - ACM International Conference Proceeding Series
SP - 111
EP - 115
BT - 19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017 - Proceedings
A2 - Anderst-Kotsis, Gabriele
A2 - Steinbauer, Matthias
A2 - Khalil, Ismail
A2 - Indrawan-Santiago, Maria
A2 - Salvadori, Ivan Luiz
PB - Association for Computing Machinery
T2 - 19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017
Y2 - 4 December 2017 through 6 December 2017
ER -