generating and consuming geospatial linked data - uned 2013

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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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