1. Highlighting the added value of Statistical Linked Open Data
Monica Scannapieco
Raffaella Aracri
Andrea Pagano
Paolo Pizzo
Laura Tosco
Luca Valentino
Istat
Giovanni Corcione
Oracle

2. Istat’s Linked Open Data Portal
The LOD portal of ISTAT
The LOD Portal as of today allows accessing about 900 Million RDF triples
Traffic for year 2016: unique visitors and hits
Istat LOD Portal:
English Version: 1
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

3. Administrative Boundaries Statistical-geographical Boundaries
Big Investment on ontology modeling
Describes the measures and dimensions of the indicators w/r/t households
Ontologies
Dwellings
Territory
Population
Describes the measures and dimensions of the indicators w/r/t people
Describes the administrative and geographical features of the Italian territory
Describes the measures and dimensions of the indicators w/r/t dwellings
Households
Special Areas
Administrative Boundaries
Statistical-geographical Boundaries
Special Units
Regions
Provinces
Municipalities
Localities
Census sections
Abbeys
Hospitals
Dimensions
Measures
Sex
Age
Marital status 2
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

4. IT Architecture of the Portal
Open Source
Oracle 12C 3
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

5. First scenario: use case
A bookseller wants to open a new international library.
He is carrying out an inspection on an available location and wants to make a market analysis to know the type of users distributed by age, country of origin, educational level and employment status that are resident in areas adjacent to the possible location of the store. 4
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

6. First scenario: workflow
An app on the smartphone of the bookseller detects the local GPS coordinates
It sends this information to the dati.open.istat.it SPARQL endpoint that allows to make a query, via the HTTP protocol, to the Istat’s triple store.
The endpoint returns the required information.
Data are visualized on the smartphone. 5
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

7. First scenario: SPARQL query
Selects population indicators by census section
Identifies census section nearest to the detected position
WKT-Well known text
Il Well-known text (WKT) è un linguaggio creato per rappresentare:
oggetti di geometria vettoriale su una mappa,
un sistema di coordinate di riferimento (una proiezione),
una trasformazione tra sistemi di coordinate.
Un equivalente binario, il Well-Known Binary (WKB) è generalmente usato per salvare le stesse informazioni in un database. Il formato è mantenuto dall'Open Geospatial Consortium (OGC).
A GeoSPARQL query performs the retrieval of the results
The GEOSPARQL query identifies the census sections nearest to the detected position and returns for each of them, the related WKT geometry and the resident population according to the specified profiled 6
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

8. First scenario: result
Example of visualization of the result on a smartphone 7
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

9. Second scenario: use case
The responsible of a technical office of an Italian province has to make an analysis of the status of degradation of the buildings in the municipalities of the province in relation to the land use. 8
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

10. Italian National Institute for Environmental Protection and Research
Second Scenario: Federated Querying
With LOD, it is very easy to realize analyses with comparison of data coming from different sources (linked for example at territorial level)
Federated query on ISTAT and ISPRA (Institute for Environmental Protection and Research) i.e. the query accesses ISTAT and ISPRA portals
Results dynamically retrieved
from both portals
Query on one Portal
ISPRA
Italian National Institute for Environmental Protection and Research
ISTAT 9
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

11. Second scenario: workflow
The application builds a federated query between the data published by ISTAT and data published by ISPRA.
Results are retrieved from both triple stores (data have been linked at the municipality level).
Obtained data can be visualized on a chart. 10
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

12. Second scenario: SPARQL query
The federated query selects for the municipalities in the province : name, cadastral code, resident population and an indicator related to the number of buildings in a bad state of preservation (from the Istat triple store) and an indicator related to the land usage expressed in percentage (from the ISPRA triple store).
Query to local endpoint (ISTAT)
Query to remote endpoint (ISPRA) 11
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

13. Second scenario: result
Example of resulting chart.
The municipalities are represented by their cadastral code.
The details of all retrieved information for a single municipality appears by hovering over its point 12
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017

14. Conclusions
The next planned release is the National Italian Registry of Addresses (with civic numbers), recognized as a priority also by the Italian Agency for IT in Public Administration.
The advanced services described in the use cases could be particularly suitable also with respect to these next releases.
A dissemination strategy based on open data does put the Official Statistics users at the center:
Reaching them through different channels
e.g. apps
Making easier for them to retrieve data
e.g. federated query that make transparent the distribution of data on different portals
Providing richer services to them
e.g. spatial querying and dynamical visualizations 13
Highlighting the added value of Statistical Linked Open Data, Monica Scannapieco – Brussels, NTTS, March 2017