SMS Platform & Linked Geo Data Ali Khalili, Antonis Loizou, - - PowerPoint PPT Presentation

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SMS Platform & Linked Geo Data Ali Khalili, Antonis Loizou, - - PowerPoint PPT Presentation

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SMS Platform & Linked Geo Data Ali Khalili, Antonis Loizou, Peter van den Besselaar Day 1 Vienna, 10-11 September 2015 Agenda SMS Platform Architecture Geo data available in RISIS datasets Exchanging [Linked] Geo data

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SMS Platform & Linked Geo Data

Day 1 Vienna, 10-11 September 2015

Ali Khalili, Antonis Loizou, Peter van den Besselaar

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Agenda

  • SMS Platform Architecture
  • Geo data available in RISIS datasets
  • Exchanging [Linked] Geo data
  • Geo-Services provided by the SMS platform

○ Basic Geo Services ○ Innovative Geo Services based on the new notion of distance

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SMS Architecture

Application Service Data

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http://sms.risis.eu

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http://datasets.risis.eu

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Geo data available in RISIS datasets

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Entity Types

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Geographical attributes available per entity type in each dataset

Country Name Address Postal Code NUTS Lat/Long CIB Firm Person, Firm ETER Institution Institution Institution Institution Institution EUPRO Person, Organisation JOREP Beneficiary, Funding Programme Funding Body LeidenRank University MORE1 Person Nano Person, Institution Person, Institution Person, Institution Profile Person SIPER VICO Patent Firm Firm

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Exchanging [Linked] Geo data

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Open Geospatial Consortium

Collaboration effort between more than 400 commercial, non-profit, governmental, and research organizations worldwide

DIVERSE LANDSCAPE OF STANDARDS

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Geodata may play a vital role in connecting and aggregating data from multiple (possibly external) sources based on geospatial references that they have in common. Semantic Web enables the use of implicit geodata on top of explicit geodata : ➢ Explicit Geodata; Direct geospatial references [ e.g. coordinates, surfaces, and distances ] ➢ Implicit Geodata; Indirect geospatial references requiring lookup [ e.g. place name -> (lookup) -> coordinates ]

GEODATA AS A SPINE

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Basic (RDF) Geo Vocabulary

WGS84 – Latitude, Longitude & Altitude W3 Recommendation

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#"> <geo:Point> <geo:lat>55.701</geo:lat> <geo:long>12.552</geo:long> </geo:Point> </rdf:RDF>

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  • <country>
  • <countryCode>NL</countryCode>
  • <countryName>Netherlands</countryName>
  • <isoNumeric>528</isoNumeric>
  • <isoAlpha3>NLD</isoAlpha3>
  • <fipsCode>NL</fipsCode>
  • <continent>EU</continent>
  • <continentName>Europe</continentName>
  • ….
  • <west>3.362556</west>
  • <north>53.512196</north>
  • <east>7.227944</east>
  • <south>50.753918</south>
  • <postalCodeFormat>#### @@</postalCodeFormat>
  • </country>

GeoNames [ Bounding box ]

cont.

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Flickr [ESRI Shapefile]

  • <place place_id="4hLQygSaBJ92" woeid="3534"
  • latitude="45.512" longitude="-73.554"
  • place_url="/The_Netherlands" place_type="locality"
  • name="The Netherlands"
  • has_shapedata="1">
  • <!-- all the usual places hierarchy elements -->
  • <shapedata created="1223513357" alpha="0.012359619140625"
  • count_points="34778" count_edges="52">
  • <polylines>
  • <polyline>

40.702243804932,19.945163726807 40.70276260376,19.940700531006 ,...

</polyline>

  • </polylines>
  • </shapedata>
  • </place>
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<http://sws.geonames.org/3186084/> skos:exactMatch <http://www.flicker.com/place/.AkiwWpVVLNcL1o> ; geo:geometry "POLYGON((19.945163726807 40.702243804932, 19.940700531006 40.70276260376, etc...))

"^^virtrdf:Geometry .

Virtuoso [data type virtrdf:Geometry ]

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@prefix geo: <http://www.w3.org/2003/01/geo/wgs84_pos#> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix ex: <http://example.org/> . @prefix ngeo: <http://geovocab.org/geometry#> . _:polygon rdf:type ngeo:Polygon ; ngeo:exterior [ rdf:type ngeo:LinearRing ; ngeo:posList ( [ geo:lat "-29"; geo:long "16" ] [ geo:lat "-28"; geo:long "33" ] [ geo:lat "-34"; geo:long "27" ] [ geo:lat "-35"; geo:long "19" ] [ geo:lat "-29"; geo:long "16" ] ) ] ; ngeo:interior [ rdf:type ngeo:LinearRing ; ngeo:posList ( [ geo:lat "-29.5"; geo:long "27" ] [ geo:lat "-28.5"; geo:long "28.5" ] [ geo:lat "-29.5"; geo:long "29.5" ] [ geo:lat "-31"; geo:long "28" ] [ geo:lat "-29.5"; geo:long "27" ] ) ] .

Geo vocab

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GeoSPARQL

Prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> Prefix ogc: <http://www.opengis.net/ont/geosparql#> Prefix geom: <http://geovocab.org/geometry#> Prefix lgdo: <http://linkedgeodata.org/ontology/> Select ?school ?schoolLabel ?coffeeShop ?coffeeShopLabel From <http://linkedgeodata.org> { ?school a lgdo:School ; rdfs:label ?schoolLabel ; geom:geometry [

  • gc:asWKT ?schoolGeo

] .

?coffeeShop a lgdo:CoffeeShop ; rdfs:label ?coffeeShopLabel ; geom:geometry [

  • gc:asWKT ?coffeeShopGeo

] .

Filter ( bif:st_intersects (?schoolGeo, bif: st_point (4.892222, 52.373056), 5) && bif:st_intersects (?coffeeShopGeo, ?schoolGeo, 1) ) . }

Example Find all schools within a 5km radius around a specific location, and for each school find coffeeshops that are closer than 1km.

Offers

➢ A small ontology ➢ An extension to SPARQL

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SMS Platform & Linked Geo Data

Day 2 Vienna, 10-11 September 2015

Ali Khalili, Antonis Loizou, Peter van den Besselaar

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Agenda

  • Geo-Services provided by the SMS platform

○ Basic Geo Services

■ Geocoding ■ Conversion between various Geodata classifications ■ Geographical boundary-related services

○ Innovative Geo Services based on the new notion of distance

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Geo data representation on the SMS Platform

  • Uses Virtuoso representation internally

○ performance ○ convenience

  • Provides a service that can ingest multiple

formats into Virtuoso.

  • Provides an export service from Virtuoso to

user-specified formats.

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Geocoding

Basic Geo Services

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Geo-coding

  • Converts an address (or place name)

to geo coordinates

○ can be a point or a polygon

  • Most RISIS datasets do not store

geo coordinates

○ augments RISIS datasets with useful information ○ enables calculating distance between RISIS entities ○ enables validation of NUTS regions (i.e. does the point lie inside the polygon)

Lat/Long CIB ETER Institution EUPRO JOREP LeidenRank MORE1 Nano Firm Profile SIPER VICO

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Geo-coding SMS services

  • Input: List of (partial) addresses
  • Output: [Address, lat/long, Postal

code, Country, NUTS, ...]

  • Implemented by wrapping 3rd party

services ○ e.g. Google Geocoding API, Bing, MapQuest, Yahoo! Place Finder, etc.

Lat/Long CIB ETER Institution EUPRO JOREP LeidenRank MORE1 Nano Firm Profile SIPER VICO

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Geo-coding

http://lda-apps.risis.ops.few.vu.nl/geocode/{address} For example: http://lda-apps.risis.ops.few.vu.nl/geocode/VU%20University%20Amsterdam

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Reverse Geo-coding

  • Converts geo coordinates to an address

○ can be a point or a polygon

  • Provides additional validation opportunities.

SMS services

  • Input: List of geo-coordinates
  • Output: [Address, Postal code, Country, NUTS, …]
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Conversions between various Geo representations and classifications

Basic Geo Services

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NUTS Regions

  • Hierarchy of NUTS regions

○ Available for download ○ Facilitates aggregation ■ e.g. Return all entities in a specified NUTS region, including all sub- regions

  • Polygons

○ generated by EnAKTing project in 2011 ○ e.g. Netherlands ○ Facilitates integration ■ Return all entities whose geo coordinates fall inside a NUTS region ■ Return the NUTS region for a list of coordinates/addresses.

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ISO 3166-2

  • 2 letter country codes
  • Can be mapped to NUTS easily

○ First 2 NUTS characters are the ISO 3166-2 ○ UK is the exception (NUTS: UK , ISO: GB)

  • Polygons for ISO 3162-2 are also available
  • nline

○ http://www.gadm.org/

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LAU Regions

  • Local Administrative Unit
  • LAU-1 and LAU-2, previously called NUTS-4 and NUTS-

5

  • low level administrative division of a country, ranked

below a province, region, or state.

  • Important when analyzing OECD FUAs.
  • LAU-2, consists of municipalities or equivalent units in the 28 EU

Member States

  • We are still negotiating to acquire shapefiles for LAU-1 and LAU-2
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OECD Urban Functional Areas

  • OECD.stat provides comprehensive

statistics for each area

  • ETL required to obtain geo polygons for

these areas

○ (to the best of our knowledge)

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  • Named Entity Recognition

○ e.g. DBPedia Spotlight

  • DBPedia provides the ISO 3166-2 code for

each country

Country Names

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Point to NUTS

  • For a given point, returns the associated NUTS region(s)
  • Example: http://api.risis.ops.few.vu.nl/PointToNUTS?long=4.865720&lat=52.333757
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Point to NUTS

http://lda-apps.risis.ops.few.vu.nl/PointToNUTS/4.8650/52.3339

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Geographical boundary- related services

Basic Geo Services

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Boundary-related services

For a given region, returns the list of entities of interest (e.g. Municipalities or PROs)

  • NUTS to Municipality
  • http://api.risis.ops.few.vu.nl/NUTStoMunicipality/{NUTS code} e.g. http://api.risis.ops.few.vu.

nl/NUTStoMunicipality/NL326

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NUTS to Polygon

  • For a given NUTS region, returns the bounding polygon (i.e. a set of ordered coordinates)
  • Example: http://api.risis.ops.few.vu.nl/NUTStoPolygon/NL326
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NUTS to Polygon

http://lda-apps.risis.ops.few.vu.nl/NUTS/NL326

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Combining API calls

Basic Geo Services

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Address to Municipality

http://lda-apps.risis.ops.few.vu.nl/addressToMunicipality

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New notion of distance driven by Linked Open Data

Innovative Geo Services

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Space is more than geography!

Distance is not uni-dimensional as there can be many facets of distance.

*For example, culturally and economically similar countries may lie far away in geographical terms.

*SOURCE: Bureau of Economic Analysis, CIA World Factbook

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Transportation Time and Cost

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Cultural Factors (e.g. Languages, religious

beliefs, traditions, laws, etc. )

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Climate Factors & Time Zones

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Map of scientific collaboration

http://olihb.com/2014/08/11/map-of-scientific-collaboration-redux/

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Semantic Web & (Linked) Open Data

  • pportunities in defining a multidimensional

notion of distance

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Wikipedia ->

Example: List of countries ranked by ethnic and cultural diversity level

https://en.wikipedia.org/wiki/List_of_countries_ranked_by_ethnic_and_cultural_diversity_level

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OpenFlights Data

  • Airports, Airlines, Routes, Schedules
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World Bank Linked Data

  • World Bank Indicators (GDP, Educational stat.,

Gender stat., etc.)

  • World Bank Finances
  • World Bank Projects and Operations
  • World Bank Climate Change
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New notion of distance: Summary

Input:

  • list of places
  • distance metrics

Output:

  • distance matrices

Process:

  • query open data on metrics
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SMS Architecture

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Time for

Feedback

Linked Data API Documentation:

  • https://github.com/risis-eu/RISIS_LinkedDataAPI
  • https://github.com/risis-eu/LDA-apps