Generating and Consuming Geospatial Linked Data - UNED 2013

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Generating and Consuming Geospatial Linked Data - UNED 2013

  1. 1. Master Thesis Generating and Consuming Geospatial Linked Data Jonathan González Sánchez September 2013
  2. 2. Table of Contents ➢ Scope ➢ Motivation ➢ Objectives ➢ Problem Statement ➢ Generating Geospatial Linked Data ➢ Consuming Geospatial Linked Data ➢ Review Work Related ➢ Future Work
  3. 3. Scope  Ontology Engineering Group (UPM)  Specialized Geospatial Linked Data  Existing framework to generate RDF from geospatial relational databases (geometry2rdf)  Existing framework to visualize RDF Linked Data with Geospatial Dimensions (map4rdf)  Tutor: Jose Luis Fernández Vindel (UNED)  Supervisor: Boris Villazón (UPM)
  4. 4. Problem Statement  Generation and Publication process: Governments keep digitalizing geospatial data and publishing this data making it available in traditional GIS formats (shapefiles)  Consumption process: providing a framework able to visualize all these different datasets that can be published
  5. 5. Motivation  80% of information has a geospatial part  Governments and government agencies worldwide are increasingly publishing data on the Internet - transparency  The transformation and publication of data according to the Linked Data principles have added a new dimension to the Web of Data  Build rich UI client / GUI able to use this data effectively
  6. 6. Generating Geospatial Linked Data (I) Geometry2RDF framework ● Tool for generating RDF from geometrical information ● Originally the geometries could be on WKT or GML formats ● Developed by Ontology Engineering Group (UPM) ● Open Source (LGPL)
  7. 7. Generating Geospatial Linked Data (II) Geometry2RDF framework objectives ● Expand framework to support generation of Geospatial Linked Data from new data formats (shapefiles) ● Reuse existing Geometry Model ● Rearchitecture the framework so it could be easily integrated into other frameworks that consume Geospatial LinkedData
  8. 8. Generating Geospatial Linked Data (III) Geometry2RDF Geometry Model
  9. 9. Generating Geospatial Linked Data (IV) Geometry2RDF – How it works
  10. 10. Consuming Geospatial Linked Data (I) Map4RDF Framework ● Faceted Browsing tool for exploring and visualizing RDF datasets enhanced with geospatial information ● Integration with Google Maps, OpenStreetMaps, Open Layers Map
  11. 11. Consuming Geospatial Linked Data (II) Map4RDF Framework Objectives ● Extend functionalities provided by Map4RDF ● Integrate Geometry2RDF library to support new data formats to be displayed (shapefiles)
  12. 12. Consuming Geospatial Linked Data (III)
  13. 13. Consuming Geospatial Linked Data (IV)
  14. 14. Work Related
  15. 15. Future Work ● Improve data processing ● Include new feature types: ● Point ● LineString ● Polygon ● Include metadata into the RDF model ● Move processing to the client on Map4RDF
  16. 16. Questions
  17. 17. Thank You

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