GetLOD - Linked Open Data and Spatial Data Infrastructures

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GetLOD - Linked Open Data and

Spatial Data Infrastructures

W3C Linked Open Data LOD2014 Roma, 20-21 February 2014



Geoportal & OpenData Portal

SDI management

Towards Linked Open geoData

GetLOD: Open GeoData Solution




• Local and interoperable Geo-Information (GI) is

crucial for an increasing number of added value

services provided by private companies on top of

“open government data”

• Actually, local governments are playing an emerging

role as they represent authoritative sources for

high-quality certified data for interlinking external

information, and for smart cities applications

• In Europe main drivers for interoperable and open

data are



Public Sector Information



• Usually geographical datasets are provided as

“quick-and-dirty”, simple and flat predefined files, with

heterogeneous data models, semantics, content, as


• Four critical issues:

– Local data should be published on different infrastructures; – SDI and LOD infrastructures are not interoperable;

– Two parallel workflows and risk of additional workload and data quality;

– GI lacks persistent URIs and information cannot easily be linked on record level.


GetLOD is an open and reusable solution for publishing geographic data on the Web as Linked Open Data, according to the standard RDF / XML.

GetLOD thus ensures the Web publication of geospatial

data and its related metadata as open and linkable

data, starting from traditional cartographic webservices

GetLOD: Open GeoData Solution


Geoportal & OpenData Portal

• The Geoportal represents an important part of the

Open Data policy of the Region Emilia-Romagna.

• With a strong integration with the regional Open

Data portal, the Geoportal is a provider of

(geo)data in favor of the portal


ER Geoportal

• The ER Geoportal allows the diffusion, the distribution

and the use of geospatial data, information and

geographical services both to the public and the

staff of the local and national government.

• It is compliant to the latest regional, national (AGiD)

and international (INSPIRE, CEN, ISO, OGC)

standards in terms of interoperability.


ER Geoportal


ER Geoportal


ER Geoportal


Regional SDI management

Moka is a suite to organize

the Geographic Information

System and to develop

applications that provide GIS

services to citizens,

professionals and businesses.

Regione Emilia–Romagna

organizes his SDI with

Moka Catalog and builds

GIS applications with

Moka CMS (Content


SDI and LOD will interoperate

through Moka

In Regione Emilia – Romagna SDI and LOD infrastructures

will interoperate through Moka.

• Moka Content Management System organizes SDI

and builds GIS applications (web, desktop, apps for


• Moka Catalog organizes the whole SDI


SDI and OpenData will

interoperate through Moka

How Moka (CMS GIS) helps users to create OpenData

through GetLOD

In Moka Catalog user selects the geodata to

be published as Open Data

Moka Catalog invokes GetLOD services to create Open Data Open Data are catalogued

in Moka repository

From Moka users can manage the update of Open Data

1 5



In Regione Emilia – Romagna Moka will

Catalog OpenData Oraganize SDI • GeoData • RDBMD and tables • Web services

• Metadata (RNDT, Metadata RER) • OpenData

• Functions and appications

Create applications with data and OpenData • Web Applications • Desktop Applications • Apps for smartphone

• Uses GetLOD services

Create OpenData

SDI and OpenData will


Data, if isolated, have little value.

The value of data increases when different data sets, produced and published independently by different individuals, can be crossed freely – by third parties.

The generation of dataset in RDF format (Linked Data)

increases the value of the data allowing connections among themselves and with external dataset!

Towards Linked Open geo-Data


Towards Linked Open geo-Data

• Free data is not enough!

In order to offer a really useful service to citizens,

institutions and companies, you need to aggregate, process data and offer them as services.

• The creation of an "ontology network" of the Geoportal data allows to move from one conceptual dataset to another.

• Ontologies are considered one of the pillars of the

Semantic Web:

a number of on-going initiatives in EU Member States and EU projects (such as InGeoCloudS, GeoKnow and SmartOpenData) are creating RDF vocabularies based on the INSPIRE data models.



L'integrazione a livello di dati

Applicazione sopra il modello concettuale esplicito Applicazione sopra il modello concettuale esplicito Applicazione sopra il modello concettuale esplicito Applicazione sopra il modello concettuale esplicito

L'integrazione a livello di dati

Applicazione sopra il modello concettuale esplicito

Integration at the level data Application over conceptual model


The focus of GetLOD is on the governance of Linked Open Data from authoritative sources: data about

addresses and buildings derive from municipal registers

(e.g. building permits) provided by more than 200 municipalities, 9 provinces and gathered by the Region in the DBTR (Regional Topographic DB).

GetLOD: Open GeoData Solution


Open and reusable solution

It is integrated with the Spatial Data Infrastructure thanks to the standards defined by the Open

Geospatial Consortium (OGC) WFS and CSW.  It allows to publish the geographic open data

both as RDF (Linked Open Data ) and, as a side effect, in other non-linkable

interchange formats Shapefile and GML )

GetLOD: Open GeoData Solution


20 GeoRepository GI Middleware MD 19115 RDF dump TripleStore www OGC server OGC WFS

GI Data & Metadata LOD Back-end MD server OGC CSW Download Triple server LOD Front-end JAVA API connettori mapping file GetLOD MD catalogo Open Data Catalogo catalogazione Ricerca API


GetLOD is substantialy a batch RDFizer that extracts data from OGC services and transforms them in


It’s a java application that can execute scheduled transformation jobs.

A mapping file between GML elements and an ontology concepts controls the transformation.

The core transformer is based on Apache Velocity.

Data as well metadata are transformed in RDF graphs.

GetLOD: Open GeoData Solution


GetLOD has a plug-in architecture for what concernes the output destination of data extracted, so you can: • Create a dump file;

• Transfer the file and index it on the ER custom open data portal;

• Load the data into standard (CKAN) open data portals using APIs.

• Load the data into a SPARQL endpoint • ...

GetLOD: Open GeoData Solution


Ontologies used by GetLOD have been derived directly

from the conceptual model of the Topographic DB or, better, from the dissemination model of the DBTR.

We did not start from scratch, asking ourself “what is a building?”. In this way, the mapping of concepts was fairly direct.

Nevertheless, existing ontologies has been reused where possible, especially for geometry.

Particular attention has been paid thinking at the real use of geometry in LOD data and we made some

reasoning and drewed some conclusions…

GetLOD: Open GeoData Solution



1. LOD data are especially used in mash up apps that likely use common maps APIs

 WGS84 instead of official regional SRS 

GetLOD: Open GeoData Solution



2. If XML is verbose, RDF is really prolix

In LOD context, location usually is more important than shape

 No complex geometry, but only simple & derived 

centroids for buildings, bounding box for Administrative Units

GetLOD: Open GeoData Solution



3. OGC service are still there, but let’s use them only when we need them.

 Link to WFS GetFeature for Full geometry 

If an app need to draw the shape of a particular building, RDF carries the GetFeatureByID query as the value of a specific ontology predicate.

GetLOD: Open GeoData Solution



4. Standards are important, but does anyone already use them?

 Use “OGC GeoSparql”, but even “WGS84” 

Redundancy is not a problem in LOD

GetLOD: Open GeoData Solution


In order to extract spatial LOD from SDI, some basic principle must be adopted in the SDI data model; fortunately DBTR already was almost compliant:

1. Unique and persistent identifier for every geographic object

2. Hystorical management and object’s life cycle well defined

But some things could be better: 1. UUID are not URI friendly

2. Codelist vs dictionaries

GetLOD: Open GeoData Solution


Not all geographical object are noteworthy: it makes no sense to convert to LOD a contour line or a land cover


Only spatial object that can be thought as individual that can evolve in time (change and eventually die) and can be referred by other objects in the same or other datasets can be correctly converted to LOD. A lifeless object does not really die, that’s why you

should define its life cycle, that is which are the events that terminate its individual identity.

GetLOD: Open GeoData Solution



The data that GetLOD extracts do not have interlinks for the moment.

Interlinks are important but since we are talking about datasets coming from authoritative sources, interlinks

that lead to general dataset like Geonames do not add particular value.

Interlinks should be created also from other PA datasets towards these reference data.

GetLOD: Open GeoData Solution


GetLOD: Open GeoData Solution

31 1. Identification & dataset selection 6. validation 7. release 2. cleaning up 3. analysis & modeling 4. enrichmenet 5. external linking

LOD Life Cycle

Source“Linee Guida per l’Interoperabilità Semantica attraverso i Linked Open Data” (Agenzia per l'Italia Digitale)

GetLOD: solution that implements the entire LOD Life Cycle


GetLOD: Open GeoData Solution


ShapeFile GML

XML metadata ISO 19115 (RNDT compliant) XML describing OpenData

RDF for Data

RDF for Metadata ISO 19115 (RNDT compliant)

XML describing Linked Open Data

Generate OpenData


GetLOD: Open GeoData Solution


GetLOD: Open GeoData Solution


GetLOD RDF Browser integrates: GeoER-API

RDF Administrative boundaries, Buildings, Road Toponyms, Civic Numbers

Events from E-R Culture

( 03780094)

Query Endpoint SPARQL

GetLOD: Demo


In 2014 we will focus on:

• Interoperability: In Regione Emilia – Romagna SDI

and LOD infrastructures will interoperate through


• Interlinking: to

compare entities from different

datasets available as LOD and calculate

similarities through textual, geographical and

temporal distance to match

• Natural browsing:

to integrate the existing map

viewer with navigation and browsing of Linked

Open Data

GetLOD: Evolution in 2014


GetLOD: Evolution in 2014



Thanks for your attention!




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