BioLog: A browser based collaboration and resource navigation assistant for BioMedical researchers

P. Singh, R. Bhimavarapu, Hasan Davulcu, Chitta Baral, S. Kim, Huan Liu, M. Bittner, I. V. Ramakrishnan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationLecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science)
EditorsB. Ludascher, L. Raschid
Pages19-30
Number of pages12
Volume3615
StatePublished - 2005
EventSecond International Workshop on Data Integration in the Life Sciences, DILS 2005 - San Diego, CA, United States
Duration: Jul 20 2005Jul 22 2005

Other

OtherSecond International Workshop on Data Integration in the Life Sciences, DILS 2005
CountryUnited States
CitySan Diego, CA
Period7/20/057/22/05

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Science (miscellaneous)
  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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