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Full-Text Articles in Management Information Systems
Reengineering Of Mesh Thesauri For Term Selection To Optimize Literature Retrieval And Knowledge Reconstruction In Support Of Stem Cell Research, Yan Su, James E. Andrews, Hong Huang, Yue Wang, Liangliang Kong, Peter Cannon, Ping Xu
Reengineering Of Mesh Thesauri For Term Selection To Optimize Literature Retrieval And Knowledge Reconstruction In Support Of Stem Cell Research, Yan Su, James E. Andrews, Hong Huang, Yue Wang, Liangliang Kong, Peter Cannon, Ping Xu
School of Information Faculty Publications
BACKGROUND: PubMed is a widely used database for scientists to find biomedical-related literature. Due to the complexity of the selected research subject and its interdisciplinary nature, as well as the exponential growth in the number of disparate pieces of biomedical literature, it is an overwhelming challenge for scientists to define the right search strategies and quickly locate all related information. Specialized subsets and groupings of controlled vocabularies, such as Medical Subject Headings (MeSH), can enhance information retrieval in specialized domains, such as stem cell research. There is a need to develop effective search strategies and convenient solutions for knowledge organization …
Real-Time Diffusion Of Information On Twitter And The Financial Markets, Ali Tafti, Ryan Zotti, Wolfgang Jank
Real-Time Diffusion Of Information On Twitter And The Financial Markets, Ali Tafti, Ryan Zotti, Wolfgang Jank
School of Information Systems and Management Faculty Publications
Do spikes in Twitter chatter about a firm precede unusual stock market trading activity for that firm? If so, Twitter activity may provide useful information about impending financial market activity in real-time. We study the real-time relationship between chatter on Twitter and the stock trading volume of 96 firms listed on the Nasdaq 100, during 193 days of trading in the period from May 21, 2012 to September 18, 2013. We identify observations featuring firm-specific spikes in Twitter activity, and randomly assign each observation to a ten-minute increment matching on the firm and a number of repeating time indicators. We …