Download - more datasets are coming
more datasets are comingopen government datapresidential directive
Linked Data Can HelpLinked Data Can Help
Wildland fire(NIFC)
Li Ding, James R. Michaelis, Deborah L. McGuinness and James HendlerTetherless World Constellation, Rensselaer Polytechnic Institute, 110 8th St, Troy, NY 12180, USA
{dingl,michaj6,dlm,hendler}@cs.rpi.edu
Acknowledgements: This work is funded in part by a grant from DARPA's Transformational Convergence Technology Office
Making Sense of Open Government Data
Challenge: how to understand and use open government data Opportunities: Linked Data + Social Web + Mashup Strategy: develop and use Linked Government Data using AI+CI
Challenge: how to understand and use open government data Opportunities: Linked Data + Social Web + Mashup Strategy: develop and use Linked Government Data using AI+CI
OverviewOverview
Data -> complementary data
Data -> metadata for field and value
Data -> correlated data
Meaningful Mashup and Visualization
site location
ozone readings
Field/value definition
BTU consumed
agency budget(OMB)
Category:Wildfires In The United States
hard to understand and use
book volume book volume / population
state library (Census)
State library(Census)
state gross income(IRS)
Medicare claims (HHS)
ID year PHSY_ST site-id cost1998 10.01999 site123 11.32000 NY 8.32001 20
site-id Latitude longitude
site123 43.993 -70.326
Year
claims
2000 382
PHSY_ST: state abbreviationID: unique id
cost: unit is million US dollarsyear: 1975-2008
Correlated dataset Complement dataset
Metadata (field definition) Metadata (value definition)
Declarative data linking enables users to drill down for more. Crowdsource (together with machines) can enhance links in data Use Web visualizations (map, chart timeline) to better present data Use Mashups on correlated datasets to better interpret and compare data
Declarative data linking enables users to drill down for more. Crowdsource (together with machines) can enhance links in data Use Web visualizations (map, chart timeline) to better present data Use Mashups on correlated datasets to better interpret and compare data
Lessons LearnedLessons Learned
US-Location (Crowdsource)
http://data-gov.tw.rpi.edu/
