SlideShare a Scribd company logo
1 of 25
Download to read offline
Spatial Data on the Web:
Experiences and outlook
Frans Knibbe - Geodan
Spatial Data on the Web Working Group
http://www.w3.org/2015/spatial/wiki
SDWWG Timeline
● March 2014: Linking Geospatial Data
workshop
● January 2015: First teleconference
● March 2015: First face to face meeting
● January 2017: All deliverables should be
finished.
SDWWG Mission
From the Charter:
1. To determine how spatial data can best be integrated with other data on
the Web;
2. to determine how machines and people can discover that different facts in
different datasets relate to the same place, especially when 'place' is
expressed in different ways and at different levels of granularity;
3. to identify and assess existing methods and tools and then create a set of
best practices for their use;
4. where desirable, to complete the standardization of informal technologies
already in widespread use.
SDDWG scope
● Also concerned with OWL Time, so actually it is about
spatiotemporal data;
● Not limited to Linked Data / Five Star Data;
● Mindful of the needs of front end Web developers but
rendering technologies will not be developed;
● Not only for experts.
● Spatial data, not only geographical data;
Spatial data
Small kitchen - perspective - textures" by Elektron - Own work. Licensed under CC BY 3.0 via Wikimedia Commons - https://commons.wikimedia.
org/wiki/File:Small_kitchen_-_perspective_-_textures.PNG#/media/File:Small_kitchen_-_perspective_-_textures.PNG
Spatial data
Spatial data
Spatial data
● Eschenbachgasse 9, 1010 Wien
● Αθήνα
● That nice restaurant near the Como lake
● The top drawer of my night table
● pirate.dealings.suppers
● 8FWR6C84+83
● Atlantis?
SDWWG Deliverables
1. Use Cases & Requirements (Note)
2. Spatial Data on the Web Best Practices
(Note)
3. OWL Time Ontology (Recommendation)
4. Semantic Sensor Network Ontology
(Recommendation)
5. Coverage in Linked Data (Recommendation)
Deliverable: Spatial Data on the Web Best
Practices
It should include:
1. An agreed spatial ontology conformant to the ISO 19107 abstract model
and based on existing available ontologies such as GeoSPARQL, NeoGeo
and the ISA Core Location vocabulary;
2. advice on use of URIs as identifiers in GIS;
3. advice on providing different levels of metadata for different usage
scenarios (from broad sweep metadata to metadata about individual
coordinates in a polygon);
4. develop advice on, or possibly define, RESTful APIs to return data in a
variety of formats including those defined elsewhere, such as GeoJSON,
GeoJSON-LD and TopoJSON.
Deliverable: OWL Time
The WG will work with the authors of the existing Time
Ontology in OWL to complete the development of this
widely used ontology through to Recommendation status.
Further requirements already identified in the geospatial
community will be taken into account.
Space and time
image source:
NASA
Why time?
1. The OGC is involved in time (e.g. time series);
2. Serious data sets have serious requirements for time
and space;
3. Time and space have similarities:
○ compare Allen’s Algebra for time (precedes, meets, overlaps,
contains, starts, equals, ...) with the DE-9IM for 2D geometry (equals,
overlaps, covers, crosses, touches ...)
○ different Reference Systems
○ similar requirements for expressing vagueness and uncertainty
4. Spatial Coordinate Reference Systems can be time
dependent
ISO 8601
2015-09-14T17:51:31+00:00
Deliverable: Semantic Sensor Network
Ontology
The WG will work with the members of the former Semantic
Sensor Network Incubator Group to develop its ontology
into a formal Recommendation, noting the work to split the
ontology into smaller sections to offer simplified access.
Deliverable: Coverage in Linked Data
Develop a Recommendation for coverage data, based on
existing work (e.g. ISO 19123, Data Cube Vocabulary).
Coverage: a feature whose properties vary with space
and/or time; for example, the variation of air temperature
within a given geographic region, or the variation of flow
rate with time at a hydrological monitoring station.
First deliverable: Use Cases and
Requirements
● 50 use cases
● 57 requirements
● Still some issues to resolve
Coordinate Reference Systems
http://www.opengis.net/def/crs/EPSG/0/4326
http://www.opengis.net/def/crs/OGC/1.3/CRS84
http://data.ign.fr/id/ignf/crs/NTFLAMB2E
● Should only geographic CRS be standardized?
● Should there be a default CRS?
CRS (1)
CRS (2)
image from U.S.
Geological Survey
Other issues
● Vagueness
● Versioning
Requirements for best practices
● Metadata (bounding box, centroid, CRS,
spatial resolution);
● Linkable, crawlable;
● Usable by machines;
● 3D;
● Tiling (raster & vector), compression;
● Spatial relationships and spatial operators.
Integrating Spatial Data on the Web

More Related Content

What's hot

Trb 2017 annual_conference_visualization_lightning_talk_rst
Trb 2017 annual_conference_visualization_lightning_talk_rstTrb 2017 annual_conference_visualization_lightning_talk_rst
Trb 2017 annual_conference_visualization_lightning_talk_rstRobert Tung
 
Creating and indoor routable network with QGIS and pgRouting
Creating and indoor routable network with QGIS and pgRoutingCreating and indoor routable network with QGIS and pgRouting
Creating and indoor routable network with QGIS and pgRoutingRoss McDonald
 
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion NetworkTraffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Networkivaderivader
 
3D Analyst - Lake Lorelindu by GRASS
3D Analyst - Lake Lorelindu by GRASS3D Analyst - Lake Lorelindu by GRASS
3D Analyst - Lake Lorelindu by GRASSHartanto Sanjaya
 
3D Analyst - Lake, Jatiluhur
3D Analyst - Lake, Jatiluhur3D Analyst - Lake, Jatiluhur
3D Analyst - Lake, JatiluhurHartanto Sanjaya
 
Pgrouting_foss4guk_ross_mcdonald
Pgrouting_foss4guk_ross_mcdonaldPgrouting_foss4guk_ross_mcdonald
Pgrouting_foss4guk_ross_mcdonaldRoss McDonald
 
Sun-glint Prediction by Qin Zhang
Sun-glint Prediction by Qin ZhangSun-glint Prediction by Qin Zhang
Sun-glint Prediction by Qin ZhangQinZhang36
 
3D Analyst - Watershed and Stream Network
3D Analyst - Watershed and Stream Network3D Analyst - Watershed and Stream Network
3D Analyst - Watershed and Stream NetworkHartanto Sanjaya
 
Working with OpenStreetMap using Apache Spark and Geotrellis
Working with OpenStreetMap using Apache Spark and GeotrellisWorking with OpenStreetMap using Apache Spark and Geotrellis
Working with OpenStreetMap using Apache Spark and GeotrellisRob Emanuele
 
2015 SES NASA Intern Presentation 2
2015 SES NASA Intern Presentation 22015 SES NASA Intern Presentation 2
2015 SES NASA Intern Presentation 2Johanna Jan
 
3D Analyst - Watershed Lorelindu
3D Analyst - Watershed Lorelindu3D Analyst - Watershed Lorelindu
3D Analyst - Watershed LorelinduHartanto Sanjaya
 
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...FAO
 
06 preview of a global survey of selected deep underground facilities tynan l...
06 preview of a global survey of selected deep underground facilities tynan l...06 preview of a global survey of selected deep underground facilities tynan l...
06 preview of a global survey of selected deep underground facilities tynan l...leann_mays
 
Data visualization using r pt 20140316
Data visualization using r pt 20140316Data visualization using r pt 20140316
Data visualization using r pt 20140316Myung-Hoe Huh
 
CEDAR & PRELIDA Preservation of Linked Socio-Historical Data
CEDAR & PRELIDA Preservation of Linked Socio-Historical DataCEDAR & PRELIDA Preservation of Linked Socio-Historical Data
CEDAR & PRELIDA Preservation of Linked Socio-Historical DataPRELIDA Project
 
Watershed Delineation Using ArcMap
Watershed Delineation Using ArcMapWatershed Delineation Using ArcMap
Watershed Delineation Using ArcMapArthur Green
 
Benchmarking Link Discovery Systems for Geo-Spatial Data - BLINK ISWC2017.
Benchmarking Link Discovery Systems for Geo-Spatial Data - BLINK  ISWC2017. Benchmarking Link Discovery Systems for Geo-Spatial Data - BLINK  ISWC2017.
Benchmarking Link Discovery Systems for Geo-Spatial Data - BLINK ISWC2017. Holistic Benchmarking of Big Linked Data
 

What's hot (20)

Trb 2017 annual_conference_visualization_lightning_talk_rst
Trb 2017 annual_conference_visualization_lightning_talk_rstTrb 2017 annual_conference_visualization_lightning_talk_rst
Trb 2017 annual_conference_visualization_lightning_talk_rst
 
Creating and indoor routable network with QGIS and pgRouting
Creating and indoor routable network with QGIS and pgRoutingCreating and indoor routable network with QGIS and pgRouting
Creating and indoor routable network with QGIS and pgRouting
 
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion NetworkTraffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
 
GIS file types
GIS file typesGIS file types
GIS file types
 
3D Analyst - Lake Lorelindu by GRASS
3D Analyst - Lake Lorelindu by GRASS3D Analyst - Lake Lorelindu by GRASS
3D Analyst - Lake Lorelindu by GRASS
 
3D Analyst - Lake, Jatiluhur
3D Analyst - Lake, Jatiluhur3D Analyst - Lake, Jatiluhur
3D Analyst - Lake, Jatiluhur
 
Pgrouting_foss4guk_ross_mcdonald
Pgrouting_foss4guk_ross_mcdonaldPgrouting_foss4guk_ross_mcdonald
Pgrouting_foss4guk_ross_mcdonald
 
Sun-glint Prediction by Qin Zhang
Sun-glint Prediction by Qin ZhangSun-glint Prediction by Qin Zhang
Sun-glint Prediction by Qin Zhang
 
3D Analyst - Watershed and Stream Network
3D Analyst - Watershed and Stream Network3D Analyst - Watershed and Stream Network
3D Analyst - Watershed and Stream Network
 
Tim Alder
Tim AlderTim Alder
Tim Alder
 
Working with OpenStreetMap using Apache Spark and Geotrellis
Working with OpenStreetMap using Apache Spark and GeotrellisWorking with OpenStreetMap using Apache Spark and Geotrellis
Working with OpenStreetMap using Apache Spark and Geotrellis
 
2015 SES NASA Intern Presentation 2
2015 SES NASA Intern Presentation 22015 SES NASA Intern Presentation 2
2015 SES NASA Intern Presentation 2
 
3D Analyst - Watershed Lorelindu
3D Analyst - Watershed Lorelindu3D Analyst - Watershed Lorelindu
3D Analyst - Watershed Lorelindu
 
GeoTrellis, GIS on Scala
GeoTrellis, GIS on ScalaGeoTrellis, GIS on Scala
GeoTrellis, GIS on Scala
 
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...
 
06 preview of a global survey of selected deep underground facilities tynan l...
06 preview of a global survey of selected deep underground facilities tynan l...06 preview of a global survey of selected deep underground facilities tynan l...
06 preview of a global survey of selected deep underground facilities tynan l...
 
Data visualization using r pt 20140316
Data visualization using r pt 20140316Data visualization using r pt 20140316
Data visualization using r pt 20140316
 
CEDAR & PRELIDA Preservation of Linked Socio-Historical Data
CEDAR & PRELIDA Preservation of Linked Socio-Historical DataCEDAR & PRELIDA Preservation of Linked Socio-Historical Data
CEDAR & PRELIDA Preservation of Linked Socio-Historical Data
 
Watershed Delineation Using ArcMap
Watershed Delineation Using ArcMapWatershed Delineation Using ArcMap
Watershed Delineation Using ArcMap
 
Benchmarking Link Discovery Systems for Geo-Spatial Data - BLINK ISWC2017.
Benchmarking Link Discovery Systems for Geo-Spatial Data - BLINK  ISWC2017. Benchmarking Link Discovery Systems for Geo-Spatial Data - BLINK  ISWC2017.
Benchmarking Link Discovery Systems for Geo-Spatial Data - BLINK ISWC2017.
 

Viewers also liked

Spatial data web application in Suppliy Chain Management
Spatial data web application in Suppliy Chain ManagementSpatial data web application in Suppliy Chain Management
Spatial data web application in Suppliy Chain Managementgeoknow
 
Facete - Exploring the web of spatial data with facete
Facete - Exploring the web of spatial data with faceteFacete - Exploring the web of spatial data with facete
Facete - Exploring the web of spatial data with facetegeoknow
 
Generator workbench
Generator workbenchGenerator workbench
Generator workbenchgeoknow
 
Geold2015 wauer
Geold2015 wauerGeold2015 wauer
Geold2015 wauergeoknow
 
Esta ld -exploring-spatio-temporal-linked-statistical-data
Esta ld -exploring-spatio-temporal-linked-statistical-dataEsta ld -exploring-spatio-temporal-linked-statistical-data
Esta ld -exploring-spatio-temporal-linked-statistical-datageoknow
 
Linked Data Switzerland WorkShop october 8, 2015, hes so wallis
Linked Data Switzerland WorkShop october 8, 2015, hes so wallisLinked Data Switzerland WorkShop october 8, 2015, hes so wallis
Linked Data Switzerland WorkShop october 8, 2015, hes so wallisAI4BD GmbH
 
Linked Data Service (LINDAS): Status quo of the linked data life-cycle and le...
Linked Data Service (LINDAS): Status quo of the linked data life-cycle and le...Linked Data Service (LINDAS): Status quo of the linked data life-cycle and le...
Linked Data Service (LINDAS): Status quo of the linked data life-cycle and le...AI4BD GmbH
 
DEER - Automating RDF Dataset Transformation and Enrichment
DEER - Automating RDF Dataset Transformation and EnrichmentDEER - Automating RDF Dataset Transformation and Enrichment
DEER - Automating RDF Dataset Transformation and EnrichmentMohamed Sherif
 
DEER - RDF Data Extraction and Enrichment Framework
DEER - RDF Data Extraction and Enrichment FrameworkDEER - RDF Data Extraction and Enrichment Framework
DEER - RDF Data Extraction and Enrichment FrameworkMohamed Sherif
 

Viewers also liked (9)

Spatial data web application in Suppliy Chain Management
Spatial data web application in Suppliy Chain ManagementSpatial data web application in Suppliy Chain Management
Spatial data web application in Suppliy Chain Management
 
Facete - Exploring the web of spatial data with facete
Facete - Exploring the web of spatial data with faceteFacete - Exploring the web of spatial data with facete
Facete - Exploring the web of spatial data with facete
 
Generator workbench
Generator workbenchGenerator workbench
Generator workbench
 
Geold2015 wauer
Geold2015 wauerGeold2015 wauer
Geold2015 wauer
 
Esta ld -exploring-spatio-temporal-linked-statistical-data
Esta ld -exploring-spatio-temporal-linked-statistical-dataEsta ld -exploring-spatio-temporal-linked-statistical-data
Esta ld -exploring-spatio-temporal-linked-statistical-data
 
Linked Data Switzerland WorkShop october 8, 2015, hes so wallis
Linked Data Switzerland WorkShop october 8, 2015, hes so wallisLinked Data Switzerland WorkShop october 8, 2015, hes so wallis
Linked Data Switzerland WorkShop october 8, 2015, hes so wallis
 
Linked Data Service (LINDAS): Status quo of the linked data life-cycle and le...
Linked Data Service (LINDAS): Status quo of the linked data life-cycle and le...Linked Data Service (LINDAS): Status quo of the linked data life-cycle and le...
Linked Data Service (LINDAS): Status quo of the linked data life-cycle and le...
 
DEER - Automating RDF Dataset Transformation and Enrichment
DEER - Automating RDF Dataset Transformation and EnrichmentDEER - Automating RDF Dataset Transformation and Enrichment
DEER - Automating RDF Dataset Transformation and Enrichment
 
DEER - RDF Data Extraction and Enrichment Framework
DEER - RDF Data Extraction and Enrichment FrameworkDEER - RDF Data Extraction and Enrichment Framework
DEER - RDF Data Extraction and Enrichment Framework
 

Similar to Integrating Spatial Data on the Web

Analysis Ready Data workshop - OGC presentation
Analysis Ready Data workshop - OGC presentation Analysis Ready Data workshop - OGC presentation
Analysis Ready Data workshop - OGC presentation George Percivall
 
Time, Change and Habits in Geospatial-Temporal Information Standards
Time, Change and Habits in Geospatial-Temporal Information StandardsTime, Change and Habits in Geospatial-Temporal Information Standards
Time, Change and Habits in Geospatial-Temporal Information StandardsGeorge Percivall
 
Paciello et al. - 2016 (1)
Paciello et al. - 2016 (1)Paciello et al. - 2016 (1)
Paciello et al. - 2016 (1)Giancanio Sileo
 
Open Science and GEOSS: the Cloud Sandbox enablers
Open Science and GEOSS: the Cloud Sandbox enablersOpen Science and GEOSS: the Cloud Sandbox enablers
Open Science and GEOSS: the Cloud Sandbox enablersterradue
 
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)George Percivall
 
Implementing an Open Source Spatiotemporal Search Platform for Spatial Data I...
Implementing an Open Source Spatiotemporal Search Platform for Spatial Data I...Implementing an Open Source Spatiotemporal Search Platform for Spatial Data I...
Implementing an Open Source Spatiotemporal Search Platform for Spatial Data I...Paolo Corti
 
Weather Station Data Publication at Irstea: an implementation Report.
Weather Station Data Publication at Irstea: an implementation Report.  Weather Station Data Publication at Irstea: an implementation Report.
Weather Station Data Publication at Irstea: an implementation Report. catherine roussey
 
Big Data for Local Context
Big Data for Local ContextBig Data for Local Context
Big Data for Local ContextGeorge Percivall
 
Ieeepro techno solutions 2014 ieee java project - deadline based resource p...
Ieeepro techno solutions   2014 ieee java project - deadline based resource p...Ieeepro techno solutions   2014 ieee java project - deadline based resource p...
Ieeepro techno solutions 2014 ieee java project - deadline based resource p...hemanthbbc
 
Ieeepro techno solutions 2014 ieee dotnet project - deadline based resource...
Ieeepro techno solutions   2014 ieee dotnet project - deadline based resource...Ieeepro techno solutions   2014 ieee dotnet project - deadline based resource...
Ieeepro techno solutions 2014 ieee dotnet project - deadline based resource...ASAITHAMBIRAJAA
 
Ieeepro techno solutions 2014 ieee dotnet project - deadline based resource...
Ieeepro techno solutions   2014 ieee dotnet project - deadline based resource...Ieeepro techno solutions   2014 ieee dotnet project - deadline based resource...
Ieeepro techno solutions 2014 ieee dotnet project - deadline based resource...ASAITHAMBIRAJAA
 
Opening the Path to Technical Excellence
Opening the Path to Technical ExcellenceOpening the Path to Technical Excellence
Opening the Path to Technical ExcellenceNETWAYS
 
OpenNebulaConf 2013 - Keynote: Opening the Path to Technical Excellence by Jo...
OpenNebulaConf 2013 - Keynote: Opening the Path to Technical Excellence by Jo...OpenNebulaConf 2013 - Keynote: Opening the Path to Technical Excellence by Jo...
OpenNebulaConf 2013 - Keynote: Opening the Path to Technical Excellence by Jo...OpenNebula Project
 
Functional coverages (paper)
Functional coverages (paper)Functional coverages (paper)
Functional coverages (paper)Gennadii Donchyts
 
How FAIR is GEOSS
How FAIR is GEOSSHow FAIR is GEOSS
How FAIR is GEOSSBlue BRIDGE
 
Kerry Taylor - Semantics & sensors
Kerry Taylor - Semantics & sensorsKerry Taylor - Semantics & sensors
Kerry Taylor - Semantics & sensorsWeb Directions
 
Performance evaluation of a discovery and scheduling protocol for multihop ad...
Performance evaluation of a discovery and scheduling protocol for multihop ad...Performance evaluation of a discovery and scheduling protocol for multihop ad...
Performance evaluation of a discovery and scheduling protocol for multihop ad...Minor33
 
Q4 2016 GeoTrellis Presentation
Q4 2016 GeoTrellis PresentationQ4 2016 GeoTrellis Presentation
Q4 2016 GeoTrellis PresentationRob Emanuele
 
GIS Standards and Interoperability
GIS Standards and InteroperabilityGIS Standards and Interoperability
GIS Standards and InteroperabilityNasr Khashoggi
 

Similar to Integrating Spatial Data on the Web (20)

Analysis Ready Data workshop - OGC presentation
Analysis Ready Data workshop - OGC presentation Analysis Ready Data workshop - OGC presentation
Analysis Ready Data workshop - OGC presentation
 
Time, Change and Habits in Geospatial-Temporal Information Standards
Time, Change and Habits in Geospatial-Temporal Information StandardsTime, Change and Habits in Geospatial-Temporal Information Standards
Time, Change and Habits in Geospatial-Temporal Information Standards
 
Paciello et al. - 2016 (1)
Paciello et al. - 2016 (1)Paciello et al. - 2016 (1)
Paciello et al. - 2016 (1)
 
Open Science and GEOSS: the Cloud Sandbox enablers
Open Science and GEOSS: the Cloud Sandbox enablersOpen Science and GEOSS: the Cloud Sandbox enablers
Open Science and GEOSS: the Cloud Sandbox enablers
 
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)
 
Implementing an Open Source Spatiotemporal Search Platform for Spatial Data I...
Implementing an Open Source Spatiotemporal Search Platform for Spatial Data I...Implementing an Open Source Spatiotemporal Search Platform for Spatial Data I...
Implementing an Open Source Spatiotemporal Search Platform for Spatial Data I...
 
InternReport
InternReportInternReport
InternReport
 
Weather Station Data Publication at Irstea: an implementation Report.
Weather Station Data Publication at Irstea: an implementation Report.  Weather Station Data Publication at Irstea: an implementation Report.
Weather Station Data Publication at Irstea: an implementation Report.
 
Big Data for Local Context
Big Data for Local ContextBig Data for Local Context
Big Data for Local Context
 
Ieeepro techno solutions 2014 ieee java project - deadline based resource p...
Ieeepro techno solutions   2014 ieee java project - deadline based resource p...Ieeepro techno solutions   2014 ieee java project - deadline based resource p...
Ieeepro techno solutions 2014 ieee java project - deadline based resource p...
 
Ieeepro techno solutions 2014 ieee dotnet project - deadline based resource...
Ieeepro techno solutions   2014 ieee dotnet project - deadline based resource...Ieeepro techno solutions   2014 ieee dotnet project - deadline based resource...
Ieeepro techno solutions 2014 ieee dotnet project - deadline based resource...
 
Ieeepro techno solutions 2014 ieee dotnet project - deadline based resource...
Ieeepro techno solutions   2014 ieee dotnet project - deadline based resource...Ieeepro techno solutions   2014 ieee dotnet project - deadline based resource...
Ieeepro techno solutions 2014 ieee dotnet project - deadline based resource...
 
Opening the Path to Technical Excellence
Opening the Path to Technical ExcellenceOpening the Path to Technical Excellence
Opening the Path to Technical Excellence
 
OpenNebulaConf 2013 - Keynote: Opening the Path to Technical Excellence by Jo...
OpenNebulaConf 2013 - Keynote: Opening the Path to Technical Excellence by Jo...OpenNebulaConf 2013 - Keynote: Opening the Path to Technical Excellence by Jo...
OpenNebulaConf 2013 - Keynote: Opening the Path to Technical Excellence by Jo...
 
Functional coverages (paper)
Functional coverages (paper)Functional coverages (paper)
Functional coverages (paper)
 
How FAIR is GEOSS
How FAIR is GEOSSHow FAIR is GEOSS
How FAIR is GEOSS
 
Kerry Taylor - Semantics & sensors
Kerry Taylor - Semantics & sensorsKerry Taylor - Semantics & sensors
Kerry Taylor - Semantics & sensors
 
Performance evaluation of a discovery and scheduling protocol for multihop ad...
Performance evaluation of a discovery and scheduling protocol for multihop ad...Performance evaluation of a discovery and scheduling protocol for multihop ad...
Performance evaluation of a discovery and scheduling protocol for multihop ad...
 
Q4 2016 GeoTrellis Presentation
Q4 2016 GeoTrellis PresentationQ4 2016 GeoTrellis Presentation
Q4 2016 GeoTrellis Presentation
 
GIS Standards and Interoperability
GIS Standards and InteroperabilityGIS Standards and Interoperability
GIS Standards and Interoperability
 

More from geoknow

The Linked Data Lifecycle
The Linked Data LifecycleThe Linked Data Lifecycle
The Linked Data Lifecyclegeoknow
 
Towards Transfer Learning of Link Specifications
Towards Transfer Learning of Link SpecificationsTowards Transfer Learning of Link Specifications
Towards Transfer Learning of Link Specificationsgeoknow
 
Can we crate better links playing games?
Can we crate better links playing games?Can we crate better links playing games?
Can we crate better links playing games?geoknow
 
LinkedGeoData and GeoKnow
LinkedGeoData and GeoKnowLinkedGeoData and GeoKnow
LinkedGeoData and GeoKnowgeoknow
 
LinkedGeodata (Deutsch)
LinkedGeodata (Deutsch)LinkedGeodata (Deutsch)
LinkedGeodata (Deutsch)geoknow
 
Geo know general presentation 2013
Geo know general presentation 2013Geo know general presentation 2013
Geo know general presentation 2013geoknow
 
Geo know odw13-presentation
Geo know odw13-presentationGeo know odw13-presentation
Geo know odw13-presentationgeoknow
 

More from geoknow (7)

The Linked Data Lifecycle
The Linked Data LifecycleThe Linked Data Lifecycle
The Linked Data Lifecycle
 
Towards Transfer Learning of Link Specifications
Towards Transfer Learning of Link SpecificationsTowards Transfer Learning of Link Specifications
Towards Transfer Learning of Link Specifications
 
Can we crate better links playing games?
Can we crate better links playing games?Can we crate better links playing games?
Can we crate better links playing games?
 
LinkedGeoData and GeoKnow
LinkedGeoData and GeoKnowLinkedGeoData and GeoKnow
LinkedGeoData and GeoKnow
 
LinkedGeodata (Deutsch)
LinkedGeodata (Deutsch)LinkedGeodata (Deutsch)
LinkedGeodata (Deutsch)
 
Geo know general presentation 2013
Geo know general presentation 2013Geo know general presentation 2013
Geo know general presentation 2013
 
Geo know odw13-presentation
Geo know odw13-presentationGeo know odw13-presentation
Geo know odw13-presentation
 

Recently uploaded

Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024TopCSSGallery
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationKnoldus Inc.
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesManik S Magar
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 

Recently uploaded (20)

Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog Presentation
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 

Integrating Spatial Data on the Web

  • 1. Spatial Data on the Web: Experiences and outlook Frans Knibbe - Geodan
  • 2.
  • 3. Spatial Data on the Web Working Group http://www.w3.org/2015/spatial/wiki
  • 4. SDWWG Timeline ● March 2014: Linking Geospatial Data workshop ● January 2015: First teleconference ● March 2015: First face to face meeting ● January 2017: All deliverables should be finished.
  • 5. SDWWG Mission From the Charter: 1. To determine how spatial data can best be integrated with other data on the Web; 2. to determine how machines and people can discover that different facts in different datasets relate to the same place, especially when 'place' is expressed in different ways and at different levels of granularity; 3. to identify and assess existing methods and tools and then create a set of best practices for their use; 4. where desirable, to complete the standardization of informal technologies already in widespread use.
  • 6. SDDWG scope ● Also concerned with OWL Time, so actually it is about spatiotemporal data; ● Not limited to Linked Data / Five Star Data; ● Mindful of the needs of front end Web developers but rendering technologies will not be developed; ● Not only for experts. ● Spatial data, not only geographical data;
  • 7. Spatial data Small kitchen - perspective - textures" by Elektron - Own work. Licensed under CC BY 3.0 via Wikimedia Commons - https://commons.wikimedia. org/wiki/File:Small_kitchen_-_perspective_-_textures.PNG#/media/File:Small_kitchen_-_perspective_-_textures.PNG
  • 10. Spatial data ● Eschenbachgasse 9, 1010 Wien ● Αθήνα ● That nice restaurant near the Como lake ● The top drawer of my night table ● pirate.dealings.suppers ● 8FWR6C84+83 ● Atlantis?
  • 11. SDWWG Deliverables 1. Use Cases & Requirements (Note) 2. Spatial Data on the Web Best Practices (Note) 3. OWL Time Ontology (Recommendation) 4. Semantic Sensor Network Ontology (Recommendation) 5. Coverage in Linked Data (Recommendation)
  • 12. Deliverable: Spatial Data on the Web Best Practices It should include: 1. An agreed spatial ontology conformant to the ISO 19107 abstract model and based on existing available ontologies such as GeoSPARQL, NeoGeo and the ISA Core Location vocabulary; 2. advice on use of URIs as identifiers in GIS; 3. advice on providing different levels of metadata for different usage scenarios (from broad sweep metadata to metadata about individual coordinates in a polygon); 4. develop advice on, or possibly define, RESTful APIs to return data in a variety of formats including those defined elsewhere, such as GeoJSON, GeoJSON-LD and TopoJSON.
  • 13. Deliverable: OWL Time The WG will work with the authors of the existing Time Ontology in OWL to complete the development of this widely used ontology through to Recommendation status. Further requirements already identified in the geospatial community will be taken into account.
  • 14. Space and time image source: NASA
  • 15. Why time? 1. The OGC is involved in time (e.g. time series); 2. Serious data sets have serious requirements for time and space; 3. Time and space have similarities: ○ compare Allen’s Algebra for time (precedes, meets, overlaps, contains, starts, equals, ...) with the DE-9IM for 2D geometry (equals, overlaps, covers, crosses, touches ...) ○ different Reference Systems ○ similar requirements for expressing vagueness and uncertainty 4. Spatial Coordinate Reference Systems can be time dependent
  • 17. Deliverable: Semantic Sensor Network Ontology The WG will work with the members of the former Semantic Sensor Network Incubator Group to develop its ontology into a formal Recommendation, noting the work to split the ontology into smaller sections to offer simplified access.
  • 18. Deliverable: Coverage in Linked Data Develop a Recommendation for coverage data, based on existing work (e.g. ISO 19123, Data Cube Vocabulary). Coverage: a feature whose properties vary with space and/or time; for example, the variation of air temperature within a given geographic region, or the variation of flow rate with time at a hydrological monitoring station.
  • 19. First deliverable: Use Cases and Requirements ● 50 use cases ● 57 requirements ● Still some issues to resolve
  • 22. CRS (2) image from U.S. Geological Survey
  • 24. Requirements for best practices ● Metadata (bounding box, centroid, CRS, spatial resolution); ● Linkable, crawlable; ● Usable by machines; ● 3D; ● Tiling (raster & vector), compression; ● Spatial relationships and spatial operators.