May 4th - 7th 2011, Health Science Center Library, University of Florida, Gainesville, Florida, USA http://www.vivoweb.org/blog/2011/05/2011-vivo-hackathon-report

Participation Sites

TitanPad Collaborative Document: http://titanpad.com/HsdYySMQHL

Twitter: http://twitter.com/#\!/search?q=%23vivohack11

Attendees

Back row: Fabrizio Orlandi, Tim Lebo, Kees Burger, Andre Waagmeester, Brian Caruso; Middle row: Georgeta Bordea, Lin Clark, Jiten Bhagat, Helena Deus, Nick Benik, Rebecca Younes; Seated: Nicholas Skaggs, Stephen Williams, Chintan Tank; Not pictured: Alvar Graves

Name

Organization

Nick Benik

Harvard University

Jiten Bhagat

University of Manchester

Georgeta Bordea

DERI

Kees Burger

Maastricht University

Brian Caruso

Cornell University

Lin Clark

DERI

Helena Deus

DERI

Alvar Graves

RPI

Tim Lebo

RPI

Fabrizio Orlandi

DERI

Nicholas Skaggs

University of Florida

Chintan Tank

Indiana University

Andra Waagmeester

Maastricht University

Stephen Williams

University of Florida

Rebecca Younes

Cornell University

Attendees Projects

Hackathon Efforts

The attendees self-organized and identified projects of interest. Brief notes below.

Sabaku

A game platform for connecting people and things. Have fun. People, things, events, challenges, levels, badges, gamer points. Data driven. QR codes to link real world to virtual. Linked in Sabaku. Organizers of a conference can determine the badge based on rules. VIVO, wikipeople, mendeley. Aggregator – Sabaku gator. Vivo and wikipeople working, profiles, mendeley, my experiment can be aggregated. Mobile app to come. Qr builder. On github. A few bits working. Google doc. A skype chat.

SameAs

  1. Expose visualization data in VIVO as a Data cube (DERI RDF format for statistical purposes). Data extraction from visualization. Added a data cube link. Observation.
  2. VIVO UF, VIVO WUSTL, Harvard Profiles, bio2rdf. Dimension property. http://sameas.org. Web service. Crawled articles from harvard, wustl, UF. Pubmed IDs to reconcile. Created a new web service for identifying VIVO same as. Common identified, pubmedid. Can infer "stub" identities via common publications. Infer the same as between the authors via scoring related to common publications. NCBI has pubmedid to geneid.

Also see https://github.com/timrdf/csv2rdf4lod-automation/wiki/Example:-vivohack11

Interlinking People and Concepts

Use info from outside the organizations. Using blogs, social connections, home pages, forums. http://sindice.com/ http://sig.ma Dealing with the digital dinosaur – some people do not leave many tracks on the web. Disambiguate names. Stubs attached to publications. Match keywords from pubs to DBPedia resources. Move up the category scale. User topic visualization, http://vis.stanford.edu/protovis/ Concepts from DBPedia via Wikipedia categories – shown to be more useful than some hand curated ontologies and across a much broader array of concepts than UMLS. able to use VIVO keywords to match to DBPedia concepts and move up a concept heirarchy.

Drupal Views

Views can query Sparql endpoints such as VIVO. Standalone use of Drupal Views to show data in VIVO. Miles Worthington a strong contributor. http://drupal.org/project/views Demo of Drupal Views slide show of faculty members in a department with grant dollar total for each. Click on change view to see histogram, or other visualizations in views.

RDFA

  1. Working on adding RDFA to the HTML of VIVO display pages, providing semantic content in the HTML – useful for search engines.
  2. Adding SPARQL query via URL extension for every VIVO.
  3. Using Taverna http://www.taverna.org.uk/ to link VIVO Harvester command line calls as components in a graphical workflow, creating a graphical user interface for Harvester. Taverna could be used to automate the production of graphics using R functions.