TY - GEN
T1 - A new approach for modeling researcher community based on scientific article metadata using natural language processing
AU - Siahaan, Daniel
AU - Maududie, Achmad
AU - Slamin,
AU - Subekti, Agus
AU - Prihandoko,
AU - Siringoringo, Hotniar
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/11
Y1 - 2017/5/11
N2 - The Ministry of Research, Technology, and Higher Education of Indonesia has requirements to answer five main questions, i.e. what are the most popular research topics; which research topics tend to diminish; what are the trending research topics; who are the most influential researchers in a specific research topic, and; who are leading researchers in a specific topic. This study is a part of our ongoing main project to develop a scientific community model based on scientific article publication. This paper introduces a new approach to model a virtual researcher network using metadata of articles. We modified PageRank to develop a term graph and author-Term graph for this purpose. Based on the preliminary results, the model could answer the five aforementioned questions.
AB - The Ministry of Research, Technology, and Higher Education of Indonesia has requirements to answer five main questions, i.e. what are the most popular research topics; which research topics tend to diminish; what are the trending research topics; who are the most influential researchers in a specific research topic, and; who are leading researchers in a specific topic. This study is a part of our ongoing main project to develop a scientific community model based on scientific article publication. This paper introduces a new approach to model a virtual researcher network using metadata of articles. We modified PageRank to develop a term graph and author-Term graph for this purpose. Based on the preliminary results, the model could answer the five aforementioned questions.
KW - article metadata
KW - author-Term graph
KW - natural language processing
KW - researcher community
KW - term graph
UR - http://www.scopus.com/inward/record.url?scp=85020162461&partnerID=8YFLogxK
U2 - 10.1109/ICIST.2017.7926790
DO - 10.1109/ICIST.2017.7926790
M3 - Conference contribution
AN - SCOPUS:85020162461
T3 - 7th International Conference on Information Science and Technology, ICIST 2017 - Proceedings
SP - 386
EP - 390
BT - 7th International Conference on Information Science and Technology, ICIST 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Information Science and Technology, ICIST 2017
Y2 - 16 April 2017 through 19 April 2017
ER -