2012DESFutureSDIs

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  • We have come a long way
    from business unit silos
    to organisational silos
    to community initiative silos – each with its own portal.
    Portals are catalogue of data sets focused on meeting the discovery use case
    Issues with portals:
    provided limited access to catalogued data
    products are supply driven and not designed around use cases
    granularity of metadata
  • The outcomes may be describe as providing a scalable geographic dimension to the Linked Data Web. At the heart of the project is the “application data” and how this is supported by SDIs
  • Some more detail on how it all works technically – open standard interfaces supported specific functions: name lookup, finding representations and finding relations to other data.
  • II is about social as well as technical infrastructure
    A lot of stakeholders of course – simple technology but complex governance.
  • 2012DESFutureSDIs

    1. 1. A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data Paul Box | Project Leader Rob Atkinson | Principal Investigator Laura Kostanski | Gazetteer Expert 4th Digital Earth Summit 2012 Wellington, NZ CSIRO GOVERNMENT AND COMMERCIAL SERVICES THEME
    2. 2. Overview • • • • • • • The YAP problem Use of Geographic References Getting the granularity right Multiple representations Using Linked Data to index SDI resources Using Linked Data to connect SDI and Application data Goals and game-changers A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 2
    3. 3. The ‘Yet Another Portal’ Problem - YAP A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 3
    4. 4. The ‘Yet Another Portal’ Problem A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 4
    5. 5. The Yet Another Mashup Problem A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 5
    6. 6. Queensland floods: 27 online map sites • Media • Government • NGO 6 alert and community report sites Social media • 7 twitter feeds • 2 face book pages All relate to place multi sources multiple channels cannot easily integrate A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 6
    7. 7. SDIs and YAP syndrome Portals, portals everywhere ... • Everybody seems to have one • They all function differently • Designed for humans Focussed on specific communities • Often contain implicit contracts, accessible only to those in the know (eg. naming conventions) • Interoperability between domains not considered. Focussed on suppliers, NOT users • Sometimes provide sophisticated tools for publishing data • More often have a low entry level for suppliers • Users have to wade through lists of results A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 7
    8. 8. Everything Happens Somewhere Implicitly geospatial (geo-codeable) Explicitly geospatial Gazetteers UNSTATS Name GRP’08 $ IND03 NTB 8,080 IND05 NTT 4,769 BPS-ID GER ‘08 Tpop’10 003 Nusa Tenggara Barat 111.08 1,318,840 005 Spatial Data Infrastructure (SDI) Name Nusa Tenggara Timur 112.09 335,805 One real world feature - Multiple representations identities, versions A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 8
    9. 9. The “granularity problem” Problem: metadata about data sets doesn’t help you understand a specific reference. SDIs currently focus on metadata at a set level Users often need data and metadata for an instance How do we find the metadata held at the data set level? But which data set? A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 9
    10. 10. Feature Instance Identifiers This is the “tricky part” Lets start with the practical implication… Catchment ExtractionRate Storage 1123343 730 300 Catchment Boundary Area Geometry 1123343 33535.4 151.3344,35.330……. A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 10
    11. 11. “Distributed” references Catchment ExtractionRate Storage 1123343 730 300 How to ask for this entity Internet How to deliver this entity Catchment Boundary Area Geometry 1123343 151.3344,-35.330……. 33535.4
    12. 12. Which representation? A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 12
    13. 13. Linked Data Web From “An Architecture for Referencing Hydrologic Concepts in Distributed Systems”, Usländer & Atkinson, (accepted). http://water.gov.au/id/catchment/567 http://water.gov.au/id/catchment/567 representations Basic properties Identifier Architecture provenance URL: spatial data access URL: spatial data access URL: observation data archive access URL: observation data archive access Data Marts Transactions URL: live data access URL: live data access Services Observation Archive (Data Warehouse) WFS WCS Services Spatial databases Sensor Web (image OGC 2006) Spatial Data Infrastructure
    14. 14. DEMO UNSDI Gazetteer for Social Protection in Indonesia | Paul Box | Page 14
    15. 15. UNSDI Gazetteer for Social Protection in Indonesia
    16. 16. UNSDI Gazetteer for Social Protection in Indonesia
    17. 17. Key gazetteer issues
    18. 18. Same as:
    19. 19. UNSDI Gazetteer for Social Protection in Indonesia
    20. 20. Linked data Agency X Education Statistical Information API Agency Y Transport API Agency Z Statistics API Linked Data Provide URI identifiers for use in apps Spatial Information Gazetteer framework A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 21 User UN SDI National SDI
    21. 21. Finding source data 1: resolve reference User Portal (live documentation) Portal (live documentation) Linked Data: Linked Data: representations usedBy 2: Use returned information to access source data Name search function WFS (Thematic) WFS-G Common Gazetteer Index Gazetteer framework Agency Z Statistics st arve H System 11 System SDI Data Sources CSIRO. UNSDI Gazetteer for Social Protection in Indonesia A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 22 System nn System
    22. 22. Goals achieve fundamental, systemic improvement in information integration capability that enables more effective and cost-efficient sustained service delivery Discover Access, Extract Transform Load Discover Access Extract, Transform, Load Use Use Understand Time and effort Understand Gazetteer framework - enable place names used in different systems to be registered and used to reference and integrate other information A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 23
    23. 23. The “game changers” Linked Data (using the Web better) Governance: UN-OICT, INSPIRE etc Cloud Computing Locally relevant global data sets Crowd-sourcing A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 24
    24. 24. The institutional infrastructure UNGIWG (40+ UN agencies) UNSDI (CoE) Global Pulse (Pulse Lab) UN CITO UN Stats UN Secretary General Gazetteer Gazetteer Project Project UN GGIM UNGEGN Assist Sec. Gen. InaSDI (Indonesia) 14 GoI Ministries BIG Agreement Agreement AusAID Funding agreement OSP (RET) (Australia) UK Location (DEFRA) CGNA (Australia) UNEP Eye on Earth EU JRC INSPIRE (European SDI) BoM NE2I (Australia) A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 25 Australian Gazetteer (SDI activities)
    25. 25. Thank you Rob Atkinson | Principal Investigator Paul Box |Project Leader Laura Kostanski | Gazetteer Expert Digital Productivity and Services Flagship t +61 2 9325 3122 e paul.j.box@csiro.au w www.csiro.au/gazetteer GOVERNMENT AND COMMERCIAL SERVICES THEME

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