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Egu2013 final

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  • 1. Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures Pavel Golodoniuc | Computer scientist 8 April 2013 CSIRO EARTH SCIENCE AND RESOURCE ENGINEERING Pavel Golodoniuc1, Terry Rankine1, Paul Box2, Rob Atkinson2 and Laura Kostanski3 1 CSIRO Earth Science and Resource Engineering, Australia Land and Water, Australia 3 CSIRO Mathematics, Informatics and Statistics, Australia 2 CSIRO
  • 2. Spatial Data Infrastructures (SDIs) What are they? “Yet Another Portal” (YAP) syndrome What do we get? Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 3. Semantics Semantic aspects are often neglected: – Need to know a lot about data before it can be accessed: FeatureType and vocabularies in use – Top-down semantics (e.g. INSPIRE) leads to islands of interoperability Interoperability between autonomous SDI domains? More importantly, how are SDI s to be used? – spatial representations relevant to GIS – citable identifiers for business data: geostatistical information Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 4. What else is missing? Inadequate handling of feature level metadata Features are insufficiently integrated with other systems Interdomain cross-walks Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 5. Spatial Identifier Reference Framework: Linked Data approach Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 6. Linked Data approach Proposed Linked Data approach reconciles “data set” view and feature level identifiers – Allows linkage from data in “business” systems to SDI information resources Relies upon Unique Resource Identifiers (URIs) to access feature information using traditional SDI data access interfaces “Spatial bookmarks” link multiple representations of the same feature in different layers of a traditional SDI “Lineage” metadata in an executable form – semantics of dataset dependencies Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 7. Spatial Identifier Reference Framework (SIRF) SIRF implements an approach for identifying spatial features in a Linked Data context. Globally scalable approach that can link and integrate autonomous national and regional spatial data infrastructures (SDIs) – including those with domain-specific functions SIRF allows discovery of the feature type and the source service for data Schema and content mapping of source data models to the SIRF standard model provides vital provenance metadata Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 8. Same identifier different views SISS provides capability to map multiple sources into one structure. SISS is assisting in building national SDIs. SIRF is using it to link between the layers of SDIs and between SDIs. Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 9. Example: Indonesian Gazetteer Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 10. Example One real world feature: a bus station Merak bus station BIG National Gazetteer of Indonesia Feature Type Identifier Merak, Stasiun Bis Transport Department of Transport Gazetteer of Bus Terminals Identifier Feature Type Terminal Merak Footprint Point Footprint Polygon Represented in multiple systems using different names, and classified and represented in different ways Currently systems are disconnected and difficult to integrate Merak Merak, Stasiun Bis Terminus Dataset Gazetir Indeonesia Merak, Stasiun Bis (Gazetteer Entry) Gazetir Indonesia (Gazetteer) Same as Used in Navigation application Linked Resource Merak (Gazetteer Entry) Terminus Dataset (Gazetteer) Used in Online Public Transport Map Linked Resource Passenger Travel Stats Application Linked Resource GAZETTER FRAMEWORK Links gazetteers (based on same feature in different gazetteers) used in web applications and other online resources.
  • 11. SIRF and Spatial Information Services Stack (SISS) The Spatial Identifier Reference Framework specifies open standards – Accessibility demands free reference implementations Two components of SISS are being used: – Vocabulary management provided through semantic services (SISSVoc) – Linked Identifiers delivered through a flexible URI redirection tool: – the Persistent Identifier Service Feature Type Catalog Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 12. The Spatial Information Services Stack Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures
  • 13. For more information See the SIRF API: https://wiki.csiro.au/display/UNSDI/The+SIRF+API How standard APIs can be used in semantic context New APIs to standardised access to semantic content UNSDI Gazetteer for Social Protection in Indonesia | Paul Box | Page 13
  • 14. Thank you CSIRO ESRE Pavel Golodoniuc Computer scientist t +61 8 6436 8776 e pavel.golodoniuc@csiro.au w www.csiro.au/cesre CSIRO LW Paul Box Spatial Identifier Reference Framework (SIRF) for Social Protection in Indonesia Project Leader t +61 2 9325 3122 e paul.j.box@csiro.au w www.csiro.au/clw CSIRO EARTH SCIENCE AND RESOURCE ENGINEERING

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