SLIS COLLOQUIUM SERIES: Combining Text- and Link-based Retrieval Methods for Web-based IR
Graduate students, staff, and faculty are cordially invited to attend the SLIS Colloquium Series. This talk by Professor Kiduk Yang discusses various approaches to the difficulties of information retrieval in the Web environment.
Title: Combining Text- and Link-based Retrieval Methods for Web-based IR
Speaker: Kiduk Yang, School of Library and Information Science
Date: Wednesday, December 4, 2002
Time: 1:30 - 3:00 pm
Place: LI 001 (across from SLIS Library)
Talk preceded by an informal gathering with cookies, tea, and coffee available at 2:15pm.
ABSTRACT
The massive, heterogeneous, and dynamic Web document collection diminishes the effectiveness of retrieval approaches of traditional Information Retrieval (IR). At the same time, the Web is rich with various sources of information that go beyond the contents of documents, such as hyperlinks and Web directories (e.g. Yahoo). Although IR studies have repeatedly shown that combining multiple sources of evidence (i.e., fusion) can improve retrieval performance, there is little work to date that investigates fusion beyond combining text- and link-based retrieval approaches.
The presentation begins with an overview of fusion IR, which will be followed by my past research that investigated the effects of combining text-, link-, and classification-based retrieval approaches and concludes with a discussion of future research. The paper, "Combining Text- and Link-based Retrieval Methods for Web IR," provides some background, although it covers fusion of only text- and link-based approaches. The paper is available at (.PDF file): http://trec.nist.gov/pubs/trec10/papers/uncyang.pdf
BIO
Kiduk Yang joined the SLIS faculty this fall. He began a career as an application programmer and systems developer after receiving his B.S. in computer science. While working over 14 years as an IT professional, he earned a Master's degree and Ph.D in Information Science at the School of Information and Library Science at the University of North Carolina at Chapel Hill. His research area is information retrieval with emphasis on leveraging human knowledge for information discovery on the Web. He currently investigates the integration of knowledge organization with text and link analysis to enhance Web searching. For more information on his research and publications, see his home page at:
http://ella.slis.indiana.edu./~kiyang/index.shtml
Posted November 25, 2002