Yejun Wu
Welcome! I am an associate professor in the School of Library and Information Science at the Louisiana State University (LSU). I received my Ph.D. in Information Studies at the University of Maryland, College Park (UMCP). My primary research areas are knowledge organization systems (such as taxonomy, thesaurus, topic maps, and ontology), information retrieval systems (especially cross-language information retrieval and text classification), and computational linguistics for text analysis.
Biography
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 (ISTIC), and a Ph.D. in information studies from the University of Maryland, College Park (UMCP). While at UMCP, he did most of his research at the Laboratory for Computational Linguistics and Information Processing, Institute for Advanced Computer Studies.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.
Education
-
Ph.D., University of Maryland, College Park
MSc., Institute of S&T Information of China
Areas of Research / Professional Expertise
-
• Knowledge organization systems (classification, taxonomy, thesaurus, topic maps, ontology)
• Information retrieval systems (especially cross-language information retrieval and text classification)
• Computational linguistics for text analysis (such as environmental science text, biomedical science text)
Personal Interests
-
• information filtering and critical thinking of a wide range of topics in health, finance, environment, and politics.
• various cultural and recreation actitivies, such as travel, hip hop, internal design, running, wood work.
Books
Articles
Construction and evaluation of an oil spill semantic relation taxonomy
Published: Aug 26, 2016 by Knowledge Organization (International Journal)
Authors: Yejun Wu and Li Yang
Subjects:
Environmental Science, Information Technology
The paper presents the rationale, significance, method and procedure of building a taxonomy of semantic relations in the oil spill domain for supporting knowledge discovery through inference. Difficult problems during the development of the taxonomy are discussed and partial solutions are proposed. A preliminary functional evaluation of the taxonomy for supporting knowledge discovery was performed.
Formative & summative evaluation of a large topic map as a ... learning tool
Published: Nov 26, 2015 by Knowledge Organization (International Journal)
Authors: Yejun Wu, Amanda Lehman, and David Dunaway
Subjects:
Environmental Science, Information Technology
A large topic map was created to facilitate understanding of the impacts of the 2010 Gulf of Mexico Oil Spill Incident. A formative evaluation and two summative evaluations were conducted, as qualitative studies, to assess the usefulnessand usability of the large topic maps for facilitating self-regulated learning. The topic maps were found useful forknowledge fusion and discovery, and can be useful when undertaking interdisciplinary and multidisciplinary research.
Creating a large topic map by integrating Wandora and Ontopia
Published: May 26, 2013 by Library Hi Tech
Authors: Yejun Wu, David J. Dunaway
Subjects:
Information Technology
The purpose of this paper is to present conceptual and technical knowledge about creating a large topic map by integrating the strengths of two topic maps creation tools (i.e. Ontopia and Wandora).