Research Profile: Dr. Geoffrey Liu

Dr. Geoffrey Z. Liu
Professor

Statement of Research Interests & Experience

I have a research background in information retrieval and systems design. I am currently investigating cognitive shifting in dynamic information retrieval and collaborative learning online. I also have research interests in data mining (applied in information processing and services) as well as virtual communities and group decision making.

Possible PhD Thesis Topic Areas

  • Automated indexing and IR system design
  • Behavioral and cognitive aspects of interactive information retrieval
  • Virtual community and computer-mediated interaction
  • Data mining applied in information processing and user study
  • Collaborative learning online and group decision making

     

Ten Representative Publications

  • Liu, G. (2013). Spontaneous group decision making in distributed collaborative learning: A quantitative exploratory study. International Journal of Online Pedagogy and Course Design, 3(2), 40-58.
  • Liu, G. (2013). Spontaneous group decision making in distributed collaborative learning: A quantitative exploratory study. International Journal of Online Pedagogy and Course Design, 3(2), 40-58.
  • Liu, G. (2012). Distributed collaborative learning in online LIS education: A curricular analysis. Issues in Information Science and Information Technology, 9, 135–147.
  • Liu, G., & Chong, S. (2011). Metacognition & conceptual drifting in interactive information retrieval: An exploratory field study. Proceedings of the American Society for Information Science and Technology, 48(1), 1–9. doi: 10.1002/meet.2011.14504801065.
  • Liu, G. (2010). Spontaneous group decision making in distributed collaborative learning: Toward a new research direction. MERLOT Journal of Online Learning and Teaching, 6(1), 279–296.
  • Liu, G. (2010). Events-relation (E-R) indexing of newspapers for socio-historical research. In The Council on East Asian Librarians (Ed.). Proceedings of the international symposium on the cooperation among libraries for east Asian resources and Chinese newspaper digitization (pp. 14–23). Changsha, China: Hunan Green Apple Data Center.
  • Liu, G. (2008). School libraries serving rural communities in China: The Evergreen model. School Libraries Worldwide, 14(1).
  • Liu, G., & Zhang, W.H. (2008). School library support of health education in China: A preliminary study. The International Electronic Journal of Health Education, 11, 13-31.
  • Liu, G. (2007). Digital library developments: A comparative analysis (in Chinese). Journal of Library in Yunnan, 105, 34-40.
  • Liu, G. (2005). Virtual reference technology and service in modern libraries (in Chinese). Journal of Library in Yunnan, 97, 2-6.
  • Liu, G. (2005). Evergreen: bringing information resources to rural China. Washington, D.C. : Council on Library and Information Resources (CLIR).
  • Liu, G. (2002). Automatic relevance learning in web-based information retrieval. In Sun, J., Zhou, H, & Zhang, X. (Eds.), Proceedings of the international conference on digital library: IT opportunities and challenges in the new millennium (pp.141–158). Beijing: The Beijing Library Press.
  • Liu, G. (1999). Virtual community presence in Internet Relay Chatting. Journal of Computer-Mediated Communication, 5(1). doi: 10.1111/j.1083-6101.1999.tb00334.x
  • Liu, G. (1997). The Semantic Vector Space Model: implementation and evaluation. Journal of American Society for Information Science, 48(5), 395–417.
  • Liu, G. (1996). Natural language processing and automatic indexing of texts: the semantic vector space model (in Chinese). Journal of China Society for Scientific and Technological Information, 15(6), 402-413.
  • Liu, G. (1994). The Semantic Vector Space Model: A text representation and searching technique. Proceedings of the 27th Hawaii International Conference of Systems Sciences (HICSS), 4, 928-937.

Professional Memberships & Related Matters

Member of Association for Information Science and Technology (used to be ASIS&T), Association for Library and Information Science Education (ALISE), and the Informing Science Institute.

 

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