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

P. Singh; R. Bhimavarapu; H. Davulcu; C. Baral; S. Kim; H. Liu; M. Bittner; I. V. Ramakrishnan

doi:10.1007/11530084_4

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

P. Singh
, R. Bhimavarapu
, H. Davulcu
, C. Baral
, S. Kim
, H. Liu
, M. Bittner
, I. V. Ramakrishnan

Computer Science

Stony Brook University

Arizona State University
Translational Genomics Research Institute

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	19-30
Number of pages	12
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3615
DOIs	https://doi.org/10.1007/11530084_4
State	Published - 2005
Event	Second International Workshop on Data Integration in the Life Sciences, DILS 2005 - San Diego, CA, United States Duration: Jul 20 2005 → Jul 22 2005

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10.1007/11530084_4

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Singh, P., Bhimavarapu, R., Davulcu, H., Baral, C., Kim, S., Liu, H., Bittner, M., & Ramakrishnan, I. V. (2005). BioLog: A browser based collaboration and resource navigation assistant for BioMedical researchers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3615, 19-30. https://doi.org/10.1007/11530084_4

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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.",

author = "P. Singh and R. Bhimavarapu and H. Davulcu and C. Baral and S. Kim and H. Liu and M. Bittner and Ramakrishnan, \{I. V.\}",

year = "2005",

doi = "10.1007/11530084\_4",

language = "English",

volume = "3615",

pages = "19--30",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

note = "Second International Workshop on Data Integration in the Life Sciences, DILS 2005 ; Conference date: 20-07-2005 Through 22-07-2005",

}

Singh, P, Bhimavarapu, R, Davulcu, H, Baral, C, Kim, S, Liu, H, Bittner, M & Ramakrishnan, IV 2005, 'BioLog: A browser based collaboration and resource navigation assistant for BioMedical researchers', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3615, pp. 19-30. https://doi.org/10.1007/11530084_4

BioLog: A browser based collaboration and resource navigation assistant for BioMedical researchers. / Singh, P.; Bhimavarapu, R.; Davulcu, H. et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3615, 2005, p. 19-30.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - BioLog

T2 - Second International Workshop on Data Integration in the Life Sciences, DILS 2005

AU - Singh, P.

AU - Bhimavarapu, R.

AU - Davulcu, H.

AU - Baral, C.

AU - Kim, S.

AU - Liu, H.

AU - Bittner, M.

AU - Ramakrishnan, I. V.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/26444435385

U2 - 10.1007/11530084_4

DO - 10.1007/11530084_4

M3 - Conference article

SN - 0302-9743

VL - 3615

SP - 19

EP - 30

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Y2 - 20 July 2005 through 22 July 2005

ER -

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

Abstract

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