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BioLog
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Team
Hasan Davulcu
Ravi Bhimavarapu
Ehtesham Haque
Huan Liu
Seungchan Kim
Chitta Baral
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Abstract
We
often realize that communicating with other colleagues who are studying similar
topics helps to identify information relevant to our area of study, which
otherwise may not have been found. We wish to accelerate acquisition of
collective knowledge in a defined area by identifying a specific sphere of
inquiry, identifying the group of people who are experts in that field,
provide a systematic way to gain knowledge from them, and then organize and
distribute their ideas about and models of the field among them for further analysis. We have built a
prototype system, BioLog, to help biomedical
researchers share this implicit knowledge among their peers and store their
access patterns into a central system, and have deployed it in two labs
within TGen as a pilot study. The preliminary
data has been gathered and analyzed by simple text-mining and collaborative
filtering methods.
Dr.
Baral, Dr. Davulcu, Dr. Kim, and Dr. Liu's
collaboration with TGEN and IGC includes the BioLog
Project, which aims to create scalale on-the-fly
recommendation algorithms for enabling knowledge sharing about new and
relevant genes, abstracts and researcher profiles among biologists while
they explore the Web resources.
Demo
CIPS Internal Link
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