Analysis of academic activity patterns in academic literature

TIME FRAME
2017 – present
TOTAL FUNDING TO DATE
$25,000

The project team will work on extracting key concepts from scholarly publications and explore techniques for building a taxonomy of extracted concepts by leveraging open knowledge bases (e.g., Wikipedia). The outcome of this process will be evaluated for various science and technology knowledge platform-based analysis services. The techniques, which reduce semantic ambiguity, will analyze conceptual novelty and expertise of researchers / research institutes across time, leading to a better understanding of the evolution of scientific domains in a scholarly community. The research will also lead to the development of open source tools to allow this research work to be replicated.

Analysis of academic activity patterns in academic literature

Personnel

Analysis of academic activity patterns in academic literature
Jana Diesner
Principal Investigator (PI)
Analysis of academic activity patterns in academic literature
Vetle Torvik
CO-Principal Investigator (CO-PI)

Funding Agencies

Korea Institute of Science and Technology Information — $25,000

Research Areas

Data Analytics, Informetrics, Social and Information Networks