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E-Research Roundtable - Learning User-Defined, Domain-Specific Relations: A Situated Case Study and Evaluation in Plant Science

Wednesday, November 4, 2015
12:30pm - 2:00pm

242 LIS

Event Details

Session leaders: Ana Lucic & Dr.Catherine Blake
Description: Abstract
Although methods exist to identify well-defined relations, such as is_a or part_of, existing tools rarely support a user who wants to define new, domain-specific relations. We conducted a situated case study in plant science and introduce four new domain-specific relations that are of interest to domain scientists but have not been explored in information science. Results show that precision varies between relations and ranges from 0.73 to 0.91 for the manufacturer location category, 0.89 and 0.93 for the seed donor-bank relation, 0.29 and 0.67 for the seed origin location, and 0.32 and 0.77 for the field experiment location. The manufacturer location category recall varies from 0.91 to 0.94, the seed bank-donor location recall ranges between 0.93 and 1, the seed origin relation from 0.33 to 0.82 while the field experiment location from 0.67 to 0.83 depending on the classifier and using a combination of lexical and syntactic features in the background.

Ana Lucic is a doctoral student at the University of Illinois Graduate School of Library and Information Science. Her research goals involve extracting information from text that allow innovative ways of looking at, analyzing, and summarizing text.

Dr. Blake is an Associate Professor in the iSchool (GSLIS) at the University of Illinois at Urbana-Champaign with joint appointments in the Department of Computer Science and Medical Information Science. She serves as Associate Director of the Center for Informatics in Science and Scholarship (CIRSS) along with the Director Bertram Ludäscher and is an active member of the Socio-technical Data Analytics (SODA) group. Her primary research goal is to accelerate scientific discovery by synthesizing evidence from text. Her techniques embrace both automated and human approaches that are required to resolve contradictions and redundancies that are inevitable in the information intensive world in which we live.

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