Sirf case study_icc2013

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  • Forms of country names range from those in use by the countries themselves (endonyms) to externally used alternatives (exonyms), to various common abbreviations (e.g. USA) and codes (such as those in ISO 3166). Indexes are produced by a diversity of communities including United Nations agencies, Non-Government Organisations (NGOs- such as humanitarian relief or environmental assessment groups) and commercial enterprises (postal agencies, distribution companies).
  • We can realise this vision – a spatial object can be cross-referenced to a concept and linked to related information, but this requires “reasoning” over some structured metadata.
    LOD looks at the web as a mechanism, with self-describing resources. Context provides resolvable references. Semantic Web tech provides ability to find related resources for each reference (object ID)
  • On he web you may not know the data product...
  • Turn to a special kind of identifier set
    One name – Melbourne locality municipal council boundary
    , Melbs in US and Canada , Sri Lanka
    One place many names
    Endonym / exonym
    offical and vernacular
    variants
  • Until now the preference of many agencies has been to homogenize geospatial information for ‘ease of use’ purposes- either through aggregating and de-duplicating existing SIDs or by disregarding competing information. SIRF is a system being developed by CSIRO using Linked Data mechanisms to support interoperability between heterogeneous geospatial information datasets and systems. SIRF harmonises disparate SIRDs through cross-walking and data linking methods, the benefits of which are outlined in detail by the authors. The framework system brings to the geospatial data management world, for the first time, the capability to streamline information integration processes whilst acknowledging the reality of multiple, competing SIRDs.
  • Until now the preference of many agencies has been to homogenize geospatial information for ‘ease of use’ purposes- either through aggregating and de-duplicating existing SIDs or by disregarding competing information. SIRF is a system being developed by CSIRO using Linked Data mechanisms to support interoperability between heterogeneous geospatial information datasets and systems. SIRF harmonises disparate SIRDs through cross-walking and data linking methods, the benefits of which are outlined in detail by the authors. The framework system brings to the geospatial data management world, for the first time, the capability to streamline information integration processes whilst acknowledging the reality of multiple, competing SIRDs.
  • Statistical data: existing data references alternative datasets. New data can use participatory mapping sources if desired
    Reports: can use any source, SIRF provides consistent behavour for any citation
    Applications: can see all sources via search and use cross-reference services to find alternatives, and statistical data that uses these (information network not shown directly)
  • Screen snapshot of links for a given object, with a couple of examples of views
    1st link is actually this view available in machine readable form so applications can use this data...
    Last link links to Feature Type Catalog
  • Sirf case study_icc2013

    1. 1. Spatial Identifier Reference Framework (SIRF) Realising the potential of SDI using spatial identifiers to link multiple information systems. International Cartographic Conference, Dresden Rob Atkinson | Paul Box | Laura Kostanski August 2013 GOVERNMENT AND COMMERCIAL SERVICES THEME
    2. 2. Today’s Presentation • The Vision • The Problem • A Spatial Identifier Reference Framework (SIRF) • Mechanisms • Status
    3. 3. Vision Versions…. • “Evidence based decision making” • Discovering and integrating data from multiple sources • because problems are multidimensional • geographic basis of issues and actions • geography is shared • Spatial Data Infrastructures • manage spatial data once, and share it • efficiency and efficacy • Semantic Web • machine interpretation
    4. 4. The Linked Data Vision Data about the world access rights The Web Magic Object ID (URL) context application
    5. 5. Spatial identifiers describe ‘the Somewhere’ Geospatial information Statistical information (Implicitly geospatial) Spatial identifiers BPS-ID GER ‘08 Tpop’10 003 Bureau of Stats - 003 Name Nusa Tenggara Barat 111.08 1,318,840 005 Nusa Tenggara Timur 112.09 335,805 Spatial Data Infrastructure (SDI) • Fundamental component of spatial datasets • Used to reference data 5 UNSDI Spatial Identifier Reference Framework | Paul Box West Nusa Tenggara
    6. 6. “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
    7. 7. One real world feature - multiple representations Geospatial information Gazetteer ID - 002234 Spatial Identifier Reference Framework Statistical information (Implicitly geospatial) UNSTATS Name GRP’08 $ IND03 NTB 8,080 IND05 NTT 4,769 BPS-ID GER ‘08 Tpop’10 003 Bureau of Stats - 003 Name Nusa Tenggara Barat 111.08 1,318,840 005 Nusa Tenggara Timur 112.09 335,805 Spatial Data Infrastructure (SDI) Multiple - names, identifiers, geometries, versions 7 UNSDI Spatial Identifier Reference Framework | Paul Box
    8. 8. Gazetteer – a special case of Spatial Identifier GAZETTEER ID, placename(s), feature type, location • Official list of names • Related to mapping process (toponymic) • Used for map lookup Melbourne – locality – Victorian Gazetteer –Official Names are ambiguous One name – many places One place - many names • Australia, Australie, ‫أستراليا‬ • Wollongong, ‘the gong’ • Sydney, City of Sydney Melbourne – municipal council boundaries – official
    9. 9. Barriers to use of common spatial references Spatial feature dataset discovery relevance access rights access mechanism format semantics identifier stability change citation CSIRO. UN Gazetteer - Common Semantic Framework for the UNSDI application
    10. 10. Is any platform going to work? • A single “big bucket” doesn’t work (well enough) • • • • • • • Authority vs. coverage Spatial Data Infrastructures are slow to emerge and hard to use Informal data and Big Data increasingly important Legacy systems using incompatible identifiers Specialised systems needing specific views Semantic Web unproven and unfriendly to existing systems Linked Data has too much variability
    11. 11. Spatial Identifier Reference Framework • Respect multiple views, authorities, usages • Better description of existing systems and resources • Semantic Web and Linked Data for better discovery • Provenance and authority linked to SDI where available • Small set of extensions to various standards to support interoperability of spatial identifiers
    12. 12. Linked Data Web Reports Application http://id.unsdis/id/catchment/567 http://id.unsdis/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 URL: virtual data product URL: virtual data product Observation Archive (Data Warehouse) Services WFS WCS Spatial databases Sensor Web (image OGC 2006) Computational Models Spatial Data Infrastructure
    13. 13. Status • Testing with Australian and Indonesian gazetteers and administrative boundaries, hydrological catchments, Open Street Map data • Ways to describe resources • Working services (machine interfaces) • (Very crude) HTML applications implementation • Testing federation across multiple nodes • Documentation and software being prepared for open release CSIRO. UNSDI Gazetteer for Social Protection in Indonesia
    14. 14. CSIRO. UNSDI Gazetteer for Social Protection in Indonesia
    15. 15. Resource “graph” CSIRO. UNSDI Gazetteer for Social Protection in Indonesia
    16. 16. Thank you For more information Rob.atkinson@csiro.au GOVERNMENT AND COMMERCIAL SERVICES THEME

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