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LIS590LD Literature-based DiscoveryDescription: Literature-based discovery (LBD) is an information science approach to formulating and assessing scientific hypotheses. It is characterized by bringing together explicit statements (taken from different scientific papers) to form implicit assertions. This course will focus on the technical aspects of LBD and some related text mining problems that have been addressed using the concept of implicit information (e.g., author name disambiguation). Seminars will discuss various existing approaches, computer lab sessions will teach fundamental text mining techniques, and projects will explore some of the open problems in LBD. Credit Hours: 2 or 4 GR hours Note: Open to graduate students campus-wide. Graduate students outside the Graduate School of Library and Information Science are welcome to join the class as projects will be tailored to specific interests and expertise. Instructor: Vetle Torvik Schedule: M: 9:00 - 11:50 a.m. Location: 109 LISB |
HEADLINESTwelve Students Honored with Grants GSLIS Students Named Diversity Scholars Guide Highlights Best Gift Books for Youth For Improving Early Literacy, Reading Comics is No Child's Play UPCOMING EVENTSBrownbag discussion about community archiving (Dec 3) Geographic Information Systems (GIS) Fair 2009 (Dec 9) Faculty Meeting (Dec 9) Ian Brooks: Designing a Culturally Sensitive Interface for an Endemic Disease Cyberenvironment (Dec 16) 2009 Downs Intellectual Freedom Award Reception (Jan 16) iConference 2010 (Feb 3 - Feb 6) Faculty Meeting (Feb 10) Faculty Meeting (Mar 3) |