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