• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Generating and Consuming Geospatial Linked Data - UNED 2013
 

Generating and Consuming Geospatial Linked Data - UNED 2013

on

  • 273 views

 

Statistics

Views

Total Views
273
Views on SlideShare
272
Embed Views
1

Actions

Likes
0
Downloads
1
Comments
0

1 Embed 1

https://twitter.com 1

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Generating and Consuming Geospatial Linked Data - UNED 2013 Generating and Consuming Geospatial Linked Data - UNED 2013 Presentation Transcript

    • 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