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Master Thesis
Generating and Consuming Geospatial
Linked Data
Jonathan González Sánchez
September 2013
Table of Contents
➢ Scope
➢ Motivation
➢ Objectives
➢ Problem Statement
➢ Generating Geospatial Linked Data
➢ Consuming Geospatial Linked Data
➢ Review Work Related
➢ Future Work
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)
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
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
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)
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
Generating Geospatial Linked Data (III)
Geometry2RDF Geometry Model
Generating Geospatial Linked Data (IV)
Geometry2RDF – How it works
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
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)
Consuming Geospatial Linked Data (III)
Consuming Geospatial Linked Data (IV)
Work Related
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
Questions
Thank You

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Generating and Consuming Geospatial Linked Data - UNED 2013

  • 1. Master Thesis Generating and Consuming Geospatial Linked Data Jonathan González Sánchez September 2013
  • 2. Table of Contents ➢ Scope ➢ Motivation ➢ Objectives ➢ Problem Statement ➢ Generating Geospatial Linked Data ➢ Consuming Geospatial Linked Data ➢ Review Work Related ➢ Future Work
  • 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. 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. 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. 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. 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. Generating Geospatial Linked Data (III) Geometry2RDF Geometry Model
  • 9. Generating Geospatial Linked Data (IV) Geometry2RDF – How it works
  • 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. 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)
  • 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