vivo a semantic web profiling system that enables collaboration and discovery among scientists...
TRANSCRIPT
VIVO A semantic web profiling systemthat enables collaboration and discovery among scientists across
interdisciplinary networks
Chin Hua KongSr. System Architect / Project ManagerCyberinfrastructure for Network Science Center,Department of Information and Library Science,School of Computing and Informatics
VIVO
VIVO
VIVO http://vivo.iu.edu
An open-source semantic web application that enables the discovery of research and scholarship across disciplines in an institution.
Populated with detailed profiles of faculty and researchers; displaying items such as publications, teaching, service, and professional affiliations.
A powerful search functionality for locating people and information within or across institutions.
VIVO TeamCornell University: Dean Krafft (Cornell PI), Manolo Bevia, Jim Blake, Nick Cappadona, Brian Caruso, Jon Corson-Rikert, Elly Cramer, Medha Devare, John Fereira, Brian Lowe, Stella Mitchell, Holly Mistlebauer, Anup Sawant, Christopher Westling, Rebecca Younes. University of Florida: Mike Conlon (VIVO and UF PI), Cecilia Botero, Kerry Britt, Erin Brooks, Amy Buhler, Ellie Bushhousen, Chris Case, Valrie Davis, Nita Ferree, Chris Haines, Rae Jesano, Margeaux Johnson, Sara Kreinest, Yang Li, Paula Markes, Sara Russell Gonzalez, Alexander Rockwell, Nancy Schaefer, Michele R. Tennant, George Hack, Chris Barnes, Narayan Raum, Brenda Stevens, Alicia Turner, Stephen Williams. Indiana University: Katy Borner (IU PI), William Barnett, Ryan Cobine, Shanshan Chen, Ying Ding, Chin Hua Kong, Russell Duhon, Jon Dunn, Micah Linnemeier, Nianli Ma, Brian Keese, Robert McDonald, Barbara Ann O'Leary, Mark Price, Yuyin Sun, Alan Walsh, Brian Wheeler, Angela Zoss. Ponce School of Medicine: Richard Noel (Ponce PI), Ricardo Espada, Damaris Torres. The Scripps Research Institute: Gerald Joyce (Scripps PI), Greg Dunlap, Catherine Dunn, Brant Kelley, Paula King, Angela Murrell, Barbara Noble, Cary Thomas, Michaeleen Trimarchi. Washington University, St. Louis: Rakesh Nagarajan (WUSTL PI), Kristi L. Holmes, Sunita B. Koul, Leslie D. McIntosh. Weill Cornell Medical College: Curtis Cole (Weill PI), Paul Albert, Victor Brodsky, Adam Cheriff, Oscar Cruz, Dan Dickinson, Chris Huang, Itay Klaz, Peter Michelini, Grace Migliorisi, John Ruffing, Jason Specland, Tru Tran, Jesse Turner, Vinay Varughese.
VIVO
Network Analysis (With Whom) Co-author and co-investigator visualizations show collaboration network of a person.
VIVO
Topical Analysis (What) Science map overlays show where a person, department, or university publishes most in the world of science. 5
VIVO
Topical Analysis (What) Comparison view shows distincts in knowledge invention among schools or departments. 6
VIVO
International Researcher Network (iNRN)
Geospatial Analysis (Where) A global search application for discovering available research resources at the world scale? http://nrn.cns.iu.edu
VIVO Book
VIVO BookTank, Chintan, Micah Linnemeier, Chin Hua Kong, and Katy Börner. 2012.
"Analyzing and Visualizing VIVO". In VIVO: A Semantic Approach to Scholarly Networking and Discovery, edited by Börner, Katy, Mike Conlon, Jon Corson-Rikert, and Ying Ding, Ch. 7. Morgan & Claypool Publishers LLC.
CyberInfrastructure Shell:A Plug-and-Play Macroscopes FrameworkChin Hua KongSr. System Architect / Project ManagerCyberinfrastructure for Network Science Center (CNS),Department of Information and Library Science (ILS),School of Computing and Informatics
CIShell
Watch the video
Microscopes Telescopes Macroscopes
10
MacroscopesDecision making in science, industry, and politics, as well as in daily life, requires that we make sense of datasets representing the structure and dynamics of complex systems
Macroscopes provide a vision of the whole, helping us synthesize the related elements and enabling us to detect patterns, trends, and outliers while granting access to myriad details
Rather than making things larger or smaller, macroscopes let us observe what is too great, slow, or complex for the human eye and mind to notice and comprehend
CIShell
TEXTrend
NWB
EpiC
Sci2
Common algorithm/tool pool Easy way to share new
algorithms Instantly create a custom tool Workflow export and rerun Auto conversion into web
service
Future
ISCSBioSNAPhys
11
CN
S.I
U.E
DU
, C
ISh
ell
.org
CIShell Plug-and-Play Macroscopes
CIShell
CIShell
CIShell-Powered Tools http://cishell.org
Network Workbench Tool (NWB)The study of biomedical, social and behavioral science, physics, and other networks
Science of Science Tool (Sci2)For science policy makers and researchers to study scientometrics, impacts, and trends in funding, publications, etc.
TexTrend ToolA trend- and text-analysis tool that supports business and governmental decision making
Epidemic Tool (EpiC)Analysis, modeling, and visualization of data streams such as diffusion patterns of the H1N1 virus over geographic space
DynaNetsThe study of evolving networks by University of Amsterdam, The Netherlands
SISOB An Observatory for Science in Society Based in Social Models by nine consortium members
Network Workbench Tool http://nwb.cns.iu.edu
The Network Workbench (NWB) tool supports researchers, educators, and practitioners interested in the study of biomedical, social and behavioral science, physics, and other networks.
In February 2009, the tool provides more 169 plugins that support the preprocessing, analysis, modeling, and visualization of networks. More than 50 of these plugins can be applied or were specifically designed for S&T studies.
Börner, Katy, Huang, Weixia (Bonnie), Linnemeier, Micah, Duhon, Russell Jackson, Phillips, Patrick, Ma, Nianli, Zoss, Angela, Guo, Hanning & Price, Mark. (2010). Rete-Netzwerk-Red: Analyzing and Visualizing Scholarly Networks Using the Network Workbench Tool. Scientometrics. Vol. 83(3), 863-876.
8
NWB