Paper Info
Title
BioLog: a browser based collaboration and resource navigation assistant for biomedical researchers
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 specific spheres of inquiry. Such spheres correspond to groups of people who are experts in a field. In this paper we provide a systematic way to gain knowledge from their online search activity, and enable them to organize and share their search findings 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 for reuse. BioLog has been deployed it in two labs within TGen as a pilot study. The data has been gathered and analyzed by preliminary text-mining and collaborative filtering methods.
Year
DOI
Venue
2005
10.1007/11530084_4
DILS
Keywords
Field
DocType
preliminary text-mining,pilot study,biomedical researcher,collective knowledge,prototype system,access pattern,implicit knowledge,search finding,online search activity,resource navigation assistant,central system,text mining,collaborative filtering
Recommender system,Social group,Data mining,World Wide Web,Collaborative filtering,Reuse,Computer science,Collective intelligence,Implicit knowledge,Area studies,Database,Online search
Conference
Volume
ISSN
ISBN
3615
0302-9743
3-540-27967-9
Citations 
PageRank 
References 
1
0.36
6
Authors
8
Name
Order
Citations
PageRank
P. Singh110.36
R. Bhimavarapu210.36
H. Davulcu3414.68
Chitta Baral42353269.58
S. Kim5516.55
Huan Liu612695741.34
Michael L. Bittner751567.77
I. V. Ramakrishnan81969214.75