2012spatialatgov_sirf

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  • Title of project changedProject CSIRO and AusAID working in Indonesia but applying to Australia
  • Why?What the project is aboutHow?- innovationEnablersWhere Implications for policy and practice
  • Large scale complex interwoven challenges – cross domain problem solving - multi-agencyNeed to rapidly access and integrate near real time information to enable rapid response. UN Global Pulse being driven by the UN Secretary General, aims to leverage crowd sourced information and ‘Big data’ to monitoring and rapidly respond to the needs of vulnerable populations. - Glocalisation - accurate uptodate locally relevant and producedinfrormation to be scaled globally ‘everything happens somewhere’ – It is said that 80% of gov data has spatial dimension. Geography is a key mechanism for integrating, analysis and interpretation of information from different systems. Information Tsunami - There is an increasing need to work across scientific and other domain boundaries and to rapidly distil meaning from an increasingly overwhelming volume of information. With the emergent of crowd sourcing and outputs from BIG data analysis the challenge is enormous. However, for any one real world location there are multiple representations, identifiers and place names in useOne name many places - Place names are ambiguous one name may refer to multiple places Integration is inefficient When trying to integrate information from multiple sources using geography, an enormous amount of time and effort is wasted in trying to find, acces, extract transform, load and understand data before it can be integrated with other data and usedThe UNSDI Gazetteer framework project funded by CSIRO and AusAID is an attempt to improve the use of spatial identifiers (gazetteers) that are used to refer to places in information systems. The project focuses on Social Protection in Indonesia and is providing support to the UN Global Pulse – provides the spatial framework and improved approaches to delivery and integration of formal, government data - Part of a global UN information infrastructure activity and is supportign national SDI efforts in Indonesia and Australia
  • Integration is inefficient, time consuming & expensiveEverything somewhere how do we refer to places – spatial identifiers
  • 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 namesEndonym / exonymoffical and vernacular variants
  • Heterogeneity – different structures, location types used, different delivery formats management regimes Used within system boundaries not across – internal ids – not stable reliable overlapping – same feature different codes Limited access mechanisms – download – now3 web services – Australian context Used out of context disconnect from underlying features aggregated – no provenance infomration no usage
  • Build mechanisms to register, link, and deliver spatial identifiersII about social and technical infrastructure Leverage national SDI effortsGovernanceInformationTechnologies
  • The gazetteer framework provides the scalable geographic dimension to the Linked Data Web. It is DNS for ‘where’Users access- Register data source- Harvest from WFS- Model transformation – Solid Ground- Connect back to underklying data set to access geometry for underlying feature- Operational provenance – where it came from but link to underlying geometry
  • Here’s the portal But its really about the services under the hoodOpen search service
  • Harvesting SI from ESRI WFSDelvivering si back into the portal
  • Common reference – unambiguously reference a place using URI so we know we are talking about the same placeReference individual places not the whole datasetLinked data Project aims at supporting the geo-semantic web by developing a means to index, integrate, link and deliver spatial identifiers across national and global systems of systems. Essentially DNS for where persistent URI for each spatial identifier delivered into linked data web allows others to reliably reference cite, link information to placesCloud computing – massively scalable storage, access and processing of global datasetsLocally relevant, global data sets – improving creation and curation by data custodians in standardized ways that can be integrated at scale from local to global - Crowd- sourcing - Leveraging the power of the crowd – feeding back crowd sourced information to formal data custodian (government)Open data in context of heterogeneous business models – gazetteer is freemium viewpoint – name id and point for each featureOpen data and the freemium access model - Aim is to open up closed data holdings using a afreemium model Gazetteer is freemium view – free and open basic information about the existence and identity of spatial objects Provide links back to underlying data source for each feature. This enables integration of information across a highly heterogeneous pricing and licencing landscape drives business back to data providers and advertises their underlying data Open standards (ISO, OGC W3C) - for information content and technology – standardisation of delivery enables development of reusable tools that operate on gazetteer information Evolutionary approach - users to continue using existing gazetteers (for now) and framework links them together. Importantly information referenced using different gazetteers can be integrated as framework maintains cross-walks between gazetteers. In longer term, these cross walks and information about which gazetteers are being used to reference which statistical data can be used to consolidate gazetteers Providers do not need to change underlying data structures / business systems. Web service on top of data to deliver gazetteer information in standard way (structure and format). The gazetteer information delivered is a lightweight view of underlying heterogeneous data) based on an agreed information model – structure and semantics Building an institutional infrastructure – We are developing an information infrastructure. This is as much a social as technical undertaking. Solutions requires: a deep understanding of institutional and governance realities of infromation communities at variety of scales.- leveraging existing governance mechanisms – UN working with UN SDI (40+ Un Agencies that create and use spatial information) led by the UNN Chief Information and Technology Office an Assistant Secretary General. In Indonesia – partnering with BIG the national mapping agency – BIG is leading national efforts to build an Indonesian SDI. IN Australia partnering with GA – national mapping agency, Office for Spatial Policy.
  • Linked data Project aims at supporting the geo-semantic web by developing a means to index, integrate, link and deliver spatial identifiers across national and global systems of systems. Essentially DNS for where persistent URI for each spatial identifier delivered into linked data web allows others to reliably reference cite, link information to placesCloud computing – massively scalable storage, access and processing of global datasetsLocally relevant, global data sets – improving creation and curation by data custodians in standardized ways that can be integrated at scale from local to global - Crowd- sourcing - Leveraging the power of the crowd – feeding back crowd sourced information to formal data custodian (government)Open data in context of heterogeneous business models – gazetteer is freemium viewpoint – name id and point for each featureOpen data and the freemium access model - Aim is to open up closed data holdings using a afreemium model Gazetteer is freemium view – free and open basic information about the existence and identity of spatial objects Provide links back to underlying data source for each feature. This enables integration of information across a highly heterogeneous pricing and licencing landscape drives business back to data providers and advertises their underlying data Open standards (ISO, OGC W3C) - for information content and technology – standardisation of delivery enables development of reusable tools that operate on gazetteer information Evolutionary approach - users to continue using existing gazetteers (for now) and framework links them together. Importantly information referenced using different gazetteers can be integrated as framework maintains cross-walks between gazetteers. In longer term, these cross walks and information about which gazetteers are being used to reference which statistical data can be used to consolidate gazetteers Providers do not need to change underlying data structures / business systems. Web service on top of data to deliver gazetteer information in standard way (structure and format). The gazetteer information delivered is a lightweight view of underlying heterogeneous data) based on an agreed information model – structure and semantics Building an institutional infrastructure – We are developing an information infrastructure. This is as much a social as technical undertaking. Solutions requires: a deep understanding of institutional and governance realities of infromation communities at variety of scales.- leveraging existing governance mechanisms – UN working with UN SDI (40+ Un Agencies that create and use spatial information) led by the UNN Chief Information and Technology Office an Assistant Secretary General. In Indonesia – partnering with BIG the national mapping agency – BIG is leading national efforts to build an Indonesian SDI. IN Australia partnering with GA – national mapping agency, Office for Spatial Policy.
  • Leveraging existing infrastructure – tech and governance harvesting from WFS – low entry barrier register and cross walk the Si sets in useEvolution not revoluton
  • Freemium = light weight view Open Government Indonesia. It is part of the Open Government Partnership, a multilateral initiative that aims to make governments better. In Indonesia, Open Government Indonesia focuses on pushing transparency, public participation, and innovation across government departments.
  • 2012spatialatgov_sirf

    1. 1. Exploiting the UNSDI Spatial Identifier Reference Framework (SIRF) in Australia: Innovations and Policy Implications Paul Box, Rob Atkinson, David Lemon & Laura Kostanski CSIRO Canberra, 20 - 22 November 2012 CSIRO DIGITAL PRODUCTIVITY AND SERVICES FLAGSHIP
    2. 2. Overview • • • • • Why? – project drivers What? – the solution Where? – Indonesia and Australia How? – Innovations Where next? - Policy implications 2 | UNSDI Spatial Identifier Reference Framework | Paul Box
    3. 3. The problem • Large scale complex interwoven challenges 7,910 • ‘Big data’ - the information tsunami Exabytes ( 1m Gb) 1,227 • ‘Glocalisation’ 130 • Rapid Information integration 2005 2010 2015 • Highly spatially & temporally (Source: EMC) variable phenomena Over the next decade, the number of "files,“ or containers for Information will grow by 75x (source: EMC) 3 | UNSDI Spatial Identifier Reference Framework | Paul Box
    4. 4. Social Protection in Indonesia • Multi-sectoral information • • • • • Reliable Uptodate Timely Integrated Useable Social Protection preventing, managing, and overcoming situations that adversely affect people’s well being[1] - policies & programs to reduce poverty / vulnerability - reducing exposure, enhancing capacity to manage risks 1United Nations Research Institute For Social Development 4 | UNSDI Spatial Identifier Reference Framework | Paul Box
    5. 5. Integration realities - Information Silos System 3 System 7 Everything Happens Somewhere System 1 System n System 2 $ $ $ System 5 $ System 4 $ $ $ Use Discover Access Extract, Transform, Load Time and effort 5 | UNSDI Spatial Identifier Reference Framework | Paul Box Understand
    6. 6. 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 6 | UNSDI Spatial Identifier Reference Framework | Paul Box West Nusa Tenggara
    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, • Wollongong, ‘the gong’ • Sydney, City of Sydney Melbourne – municipal council boundaries – official
    9. 9. Spatial Identifiers – an index for SDI Foundation spatial data themes • Addressing • Administrative Boundaries • Positioning • Place Names • Land parcel & Property • Imagery • Transport • Water • Elevation and Depth • Land cover SPATIAL IDENTIFIER SETS Post codes, locality names Admin area codes/names Trig points Gazetteer Plots and Parcels Image tile index Roads and Bridges AHGF (Geofabric) features Sensor networks Cell towers 9 | UNSDI Spatial Identifier Reference Framework | Paul Box
    10. 10. Spatial identifiers • • • • • Overlap and duplication Heterogeneity – everyone does them differently Fragile, unreliable Limited access mechanisms Used out of context • Disconnected from underlying geospatial data • Limited metadata provenance/authority 10 | UNSDI Spatial Identifier Reference Framework | Paul Box
    11. 11. The solution • Infrastructure to register, link, and deliver spatial identifiers Spatial Identifier Reference Framework fundamental, systemic improvement in information integration, enabling more effective and cost-efficient service delivery Use Discover Access, Extract Transform Load Discover Access Extract, Transform, Load Use Understand Time and effort Understand • Leverage national SDI efforts • Governance • Information • Technologies 11 | UNSDI Spatial Identifier Reference Framework | Paul Box Provide stable SI Link information resource Link multiple reps
    12. 12. SIRF – spatial identifiers for the geo-semantic web Agency A Statistics Agency B Treasury Agency C Welfare API API API Statistical Information 4. Deliver as URI and build into 3.Enable access ’Spatial crossUsers Downloaded identifiers 6.5.Mint identifiers & embedded in 2.Harvestseamless integration of 1. spatial identifiers from Bookmarks’ & can connect back the Linked Data Web statistical to system and spatial and back statisticalto reference information walks geospatial data sets to underlying interfaces) SDI (standard data ininformation Web Linked Data User Linked Data Web http://id.data.gov.au/id/AusGaz2010/ NSW56500 Same as http://linkedgeodata.org/triplify/node26469586 Regional Spatial Data Infrastructure Spatial Information SIRF 12 | UNSDI Spatial Identifier Reference Framework | Paul Box National Spatial Data Infrastructure
    13. 13. UNSDI Gazetteer for Social Protection in Indonesia
    14. 14. Where are we SIRFing? In Indonesia • Badan Informasi Geospasial (BIG) • Ina SDI - ESRI geoportal • Harvesting • Publishing into InaSDI portal • OpenStreetMap In Australia • OSP, GA, CGNA, ANDS • MyMaps Australia Gazetteer Globally • UNSDI • UNGEGN 14 | UNSDI Spatial Identifier Reference Framework | Paul Box
    15. 15. Innovation – the right information…. • Common reference – unambiguously reference a place using URI • Granularity - moving from dataset to feature level – Better discover, explore, understand then download/use the bits you need 15 | UNSDI Spatial Identifier Reference Framework | Paul Box
    16. 16. Innovation – delivered in the right way • Linked data • ‘spatial bookmarks’ for the web • Interwoven feature level metadata with data - authority, licence, • The role of spatial identifiers to link information • SI as index to underlying data in SDI • Linking multiple representations of the same real world feature • Linking information to locations across systems “Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/” 16 | UNSDI Spatial Identifier Reference Framework | Paul Box
    17. 17. Innovation – handling the social dimension • Linking - not choosing a winner • Registering and cross walking • Evolution not revolution • Providers – no need to change underlying business process/systems • Users – continue to use preferred SI sets • Convergence • Building a social network graph of information resources • FOAF graph of info resources and their usage • The power of the crowd 17 | UNSDI Spatial Identifier Reference Framework | Paul Box
    18. 18. Key enablers – Openness • Open data • ‘freemium’ for spatial identifiers PLUS • Links to underlying data • With various price & licence models • Open standards • Open source software • Open Government Indonesia • Innovating • Working with the crowd • A legislative framework 18 | UNSDI Spatial Identifier Reference Framework | Paul Box
    19. 19. Implications for spatial policy and practice • Openness • Governance – to steer or row • Policy (legal?) framework • Community behaviour – tin hugging, information modelling & design for reuse • Formal and informal (VGI data sources) • Linked data - Spatial feature identifier governance • Information custodianship and access • From supply to demand driven information • Stability and predictability - improved change management • Engaging with the broader community • Identity not geometry ‘Thinking outside the polygon’ 19 | UNSDI Spatial Identifier Reference Framework | Paul Box
    20. 20. Thank you CSIRO Land and Water Paul Box USIRF Project Leader t +61 2 9325 3122 m +61 406 256006 e paul.j.box@csiro.au w www.csiro.au/gazetteer DIGITAL PRODUCTIVITY AND SERVICES FLAGSHIP

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