Bachelor's Degree(s): Information Engineering, Jilin University, China
Master's Degree(s): Information Science and Management, Institute of Scientific and Technical Information of China
PhD: Information Studies, University of Maryland, College Park
Office: 278 Coates Hall
Yejun Wu is an associate professor in the School of Library and Information Science at the Louisiana State University (LSU). His education background includes a Bachelor of Engineering degree from Jilin University (China), a Master of Science from the Institute of Scientific and Technical Information of China, and a PhD in information studies from the University of Maryland, College Park (UMCP). He is on the adjunct faculty of the Division of Computer Science and Engineering and the Interdepartmental Linguistics Program at LSU.
His work experience includes being an assistant and associate research professor at the Institute of Scientific and Technical Information of China (ISTIC) where he worked on S&T policy analysis and decision support systems, and being in a series of administrative positions at ISTIC (such as Deputy Director of Information Analysis & Research, Director of Marketing, and Director of Administration).
LIS 3510 Foundations of Digital Information Organization (forthcoming)
LIS 7011 Information Seeking and Needs Analysis
LIS 7410 Digital Libraries
LIS 7618 Seminar on E-Discovery
LIS 7808 Principles of Searching
Dr. Wu’s research areas are primarily focused on (1) knowledge organization systems
(such as taxonomy, thesaurus, topic map, and ontology)
and their applications in facilitating learning, information retrieval, and knowledge discovery, and (2) semantic analysis of text
based on computational linguistics and content analysis.
Wu, Yejun and Meng, Fansong (2019). Categorizing security for security management and information resource management. Journal of Strategic Security 11(4): 72-84.
Yang, Li and Wu, Yejun (2019). Creating a taxonomy of earthquake disaster response and recovery for online earthquake information management. Knowledge Organization 46(2): 77-89.
Wu, Yejun (2018). Enriching a thesaurus as a better question-answering tool and information retrieval aid. Journal of Information Science 44(4): 512–525.
Wu, Yejun and Yang, Seungwon (2019). Designing effective knowledge presentation techniques for large digital collections. Proceedings of the 82nd ASIS&T Annual Meeting, Melbourne, Australia.
Wu, Yejun and Yang, Li (2018). Characterization of a semantic relations taxonomy in biomedical science. 14th International Conference on Knowledge Management, Vancouver, Canada.
Wu, Yejun and Yang, Li (2017). A pilot study on comparing and extracting impact relations. 19th International Conference of Asian Digital Libraries (ICADL). November 13-15, 2017. Bangkok, Thailand. In Lecture Notes in Computer Science (LNCS, vol. 10647), 142-149. Springer.
Wu, Yejun and Bai, Rujiang (2017). An event relationship model for knowledge organization and visualization. In Proceedings of Sixth North American Symposium on Knowledge Organization (NASKO), Vol. 6. June 15-16, 2017. Champaign, Illinois. 216-230.
Selected Grants/Funded Projects
An interdisciplinary topic map for understanding the impact of the Gulf of Mexico Oil Spill Incident. Gulf Research Initiative (GRI) Year One Block Fund. $166,307 (2011-2013). PI.
Searching and understanding digital political cartoons. Louisiana Board of Regents Experimental Program to Stimulate Competitive Research (EPSCoR), NSF(2010)-PFUND-189. $9,968 (2010). PI.
Editorial Board member of The Electronic Library (journal), 2014-now.
Editorial Board member of Online Information Review (journal), 2014-now.
Editorial Board member of Data Intelligence (journal), 2018-now.
Editorial Board member of Knowledge Organization (journal), 2019 - now.
Awards and Honors
2017 LSU Office of Innovation & Technology Commercialization certificate in recognition of the book titled “Oil Spill Impacts: Taxonomic and Ontological Approaches.”
2012 LSU Center for Community Engagement, Learning & Leadership (CCELL) Happy Award (in recognition for of dedicated excellence in service-learning practice)