An Enhanced Visualization Service based on Geospatial and Statistical Linked Open Data

Transcription

1 An Enhanced Visualization Service based on Geospatial and Statistical Linked Open Data Monica Scannapieco, Pasquale Testa IT Unit on Information Systems for Statistics Pina Grazia Ticca, Sonia Scialanca Geographic Information System Unit Istat - Italy Brussels, NTTS, March 2015

2 Outline Visualization of Geospatial Data Geographical Information Systems (GISs) Linked Geo Data Illustration of possible scenarios with implementation examples Conclusions Monica Scannapieco, NTTS, Brussels, March

3 Background: Geographical Information Systems Geographical Information Systems (GISs) enabling interactive visualization, e.g.: Explore different layers of maps Zoom in or out Change visual appearance of maps Monica Scannapieco, NTTS, Brussels, March

4 Background: LOD & Linked Geo Data Family of Semantic Web standards to formal model and query data on the Web Data Modelling: Resource Description Framework (RDF), RDF Schema, Ontology Web Language (OWL) Data Querying/ Information Discovery: SPARQL (SPARQL Query Language for RDF) GeoSPARQL - A Geographic Query Language for RDF Data Modelling and querying of geospatial data Monica Scannapieco, NTTS, Brussels, March

5 Scenario 1: Integrating Linked Open data Platform and GIS Visualization Layer as part of the GIS Monica Scannapieco, NTTS, Brussels, March

6 Scenario 2: Querying of Linked Geo Data Visualization Layer as part of the LOD Portal Monica Scannapieco, NTTS, Brussels, March

7 Implementing Scenario 1 Monica Scannapieco, NTTS, Brussels, March

8 Geospatial data published through MapServices using Gistat platform Geographical layers available Admin areas: Regions, Provinces, Municipalities Census entities: Localities, Enumeration areas, suburban areas Basemaps and references maps Monica Scannapieco, NTTS, Brussels, March

9 Example 1: SPARQL results queried by Gistat Selection of commuting indicators (pendolarismo) for all enumeration areas of San Marcello municipality of the region Marche Monica Scannapieco, NTTS, Brussels, March

10 Example 1: Visualization of the query result as a thematic map Filter the EAs Thematic on a statistic field Sezioni Number of commuting pepole (enumeration areas) Display on top of a reference map Monica Scannapieco, NTTS, Brussels, March

11 Example 2: SPARQL results queried by Gistat Selection of indicators related to families (Famiglie) for all enumeration areas of Terni municipality of the region Umbria Monica Scannapieco, NTTS, Brussels, March

12 Example 2: Visualization of the query result as a thematic map (one-person families -Terni) Filter the EAs Thematic on a statistic field Display on top of a reference map Monica Scannapieco, NTTS, Brussels, March

13 Implementing Scenario 2 Monica Scannapieco, NTTS, Brussels, March

14 Implementation steps Modelling geospatial concepts Mapping geospatial concepts to data Query specification / Visualization Monica Scannapieco, NTTS, Brussels, March

15 Modelling Linked Geo Data :Comune rdfs:subclassof ogc:feature. :SezCens rdfs:subclassof ogc:feature. :exactgeometry rdfs:subpropertyof ogc:hasgeometry. Meta Information :Roma rdf:type :Comune. Non-spatial Properties :SezCens1 rdf:type :SezCens. :SezCens1 :hapopolazioneresidente "^^xsd:integer. :SezCens1 :exactgeometry :geo1. :geo1 ogc:aswkt "Polygon(( ))"^^ogc:wktliteral. :SezCens1 ogc:sfwithin :Roma. Spatial Properties :Roma :exactgeometry :geo2. :geo2 ogc:aswkt "Polygon(( ))"^^ogc:wktliteral. Monica Scannapieco, NTTS, Brussels, March

16 Visualization: an example Slippy Map refers to modern web maps which let you zoom and pan around (the map slips around when you drag the mouse) LGD Browser and Editor: Monica Scannapieco, NTTS, Brussels, March

17 Comparing the two scenarios Visualization and Geospatial Querying Query flexibility M-to-M access Geospatial Modelling efforts Scenario 1 Integrated with GIS + Design time - To be implemented - Native + Scenario 2 Adhoc - Query time + Native + To be implemented - Monica Scannapieco, NTTS, Brussels, March

18 A possible solution: Scenario 1+2 The two architectures are integrated: On the backend exchangin g data On the frontend serving different user categories Monica Scannapieco, NTTS, Brussels, March

19 Conclusions Linked Geospatial data are a key point for future spatial web data integration, providing unique URIs and exposing its content as Linked Data Different architectures for visualization of Geospatial linked open data can co-exist in NSIs Questions? Monica Scannapieco, NTTS, Brussels, March