Description: Poster paper for the 2017 International Conference on Knowledge Management. This paper proposes a dimensional model with "aspects of a corpus, such as topic or opinion, as derived star schema dimensions." Focusing on a case study on Twitter the paper demonstrates how the derived dimensions, combined with transactional facts and derived facts can uncover "the collective tacit knowledge in Twitter communities."
Date: October 25, 2017
Creator: Shakeri, Shadi & Evangelopoulos, Nicholas
Partner: UNT College of Information