Data.gov Wiki: A Semantic Web Approach to Government Data

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1 Data.gov Wiki: A Semantic Web Approach to Government Data Li Ding, Dominic DiFranzo, Sarah Magidson, Alvaro Graves, James R. Michaelis, Xian Li, Deborah L. McGuinness, Jim Hendler Tetherless World Constellation Nov 2, 2009

2 Synergy Government: data is out there as is Loop: gov data and linked data Loop: gov data and web developers Loop: gov data and end users

3 Government Data on the Web

4 Objectives Investigate the role of semantic web in producing, processing and utilizing government datasets To enrich the value of data via normalizing, linking and information-extraction To realize the value of data via applications, esp. visualization To support web developers via machine friendly data access and web services

5 Semantic Web Architecture for Government Data View & Use Data Sem Wiki Tabulator Google Viz MIT Exhibit RSS 1.0 tagcloud Link & Enrich Data Convert Data XSLT Service Data Processors (Web Services & Analyzers) Diff Service SPARQL End Point RDF/XML Link Annotator CSV XSL GOV data (RDF) RSS Generator SPARQL Web Service Linked Data RDF/XML Li Ding, Dominic DiFranzo, Sarah Magidson, and Jim Hendler Tetherless World Constellation Rensselaer Polytechnic Institute Aug

6 The Landscape

7 The catalog data

8 Data-gov Cloud (Aug 2009) (#91) ACS PUMS Population (#90) ACS PUMS Population Housing (#191) 2005 Toxics Release Inventory Budget Energy and Utilities (#34) Worldwide M1+ Earthquakes past 7 days (#10) Residential Energy Consumption Survey Geography and Environment (#249) 2006 Toxics Release Inventory (#397) 2007 Toxics Release Inventory (#402) Outlays and offsetting receipts (#401) Budget Authority and offsetting receipts (#403) Governmental Receipts (#9) CASTNET Visibility (@10001) CASTNET sites (#8) CASTNET Ozone Li Ding, Dominic DiFranzo, Sarah Magidson, and Jim Hendler Tetherless World Constellation Rensselaer Polytechnic Institute Aug

9 Data-gov Cloud (Oct 2009) Community LABOR-STAT (19xx-Present) US-COMMUNITY ( ) US agency Government GOV-BUDGET ( ) GeoNames USAspending ( ) US location Linked Data Environment EARTHQUAKE (Present) TOXIC-RELEASE ( ) RECS code RECS (2005) DATA-GOV-CATALOG (present) CASTNET (1990 Present) MED-COST ( ) Services CASTNET sites PUBLIC-LIB ( ) STATE-LIB ( ) Li Ding and Jim Hendler Tetherless World Constellation Rensselaer Polytechnic Institute Oct

10 More statistics

11 Demos

12 Data.gov + epa.gov

13 Gov Data + Corporate Data + User Data

14 Computing Difference of Revisions

15 More demos?

16 Technical Issues

17 Issues in Data.gov Duplicated Datasets- Some datasets are part of another dataset Dataset 140 (2005 Toxics Release Inventory data for the state of California (EPA)) is a subset of Dataset 191. Formatting Issues - The format of some datasets is not friendly to machine processing. Dataset 37 (Lower Colorado River Daily Average Water Elevations and Releases (US Bureau of Reclamation)). Dataset 335 (National Longitudinal Surveys (US Bureau of Labor Statistics)) tells you how to order data from the government. Access Point Issues - The access points are interactive webpage which is not friendly for machine access. Dataset 330 (Local Area Unemployment Statistics (US Bureau of Labor Statistics) Sarah

18 Linking Data 1. link similar datasets by reusing property namespace 2. link to rdfs:label (via rdfs:subpropertyof) using semantic wiki 3. link to DBpedia (via owl:sameas) using wikipedia widget 4. link instances (via common <property, literalvalue> pair) 5. link government data with web data (via time and location) 6. link revisions of government data (via knowledge provenance)

19 Semantic mapping: AI + CI Map to Wikipedia/DBpedia Name need manual disambiguation!

20 RDF => SPARQL => Web We use SPARQL to bridge Web devlopers and Semantic Web data. A triple store is used to support handling multi-million triple RDF datasets

21 Conclusion semantic web enabled portal for linked government data 5 billion triples from data.gov hosts apps, demos & services provide education services integrates web users contributions

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