GeoKnow: Making the Web an Exploratory Place for Spatial Data
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GeoKnow: Making the Web an Exploratory Place for Spatial Data

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Presentation by Orri Erling, OpenLink Software, at Copernicus Big Data Workshop, Brussels, March 2014

Presentation by Orri Erling, OpenLink Software, at Copernicus Big Data Workshop, Brussels, March 2014

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  • 1. EU-FP7 LOD2 Project Overview . 02.09.2010 . Page 1 http://lod2.eu Creating Knowledge out of Interlinked Data http://geoknow.eu GeoKnow Making the Web an Exploratory Place for Spatial Data Collaborative Project 2012-2015 in Information and Communication Technologies Project No. 318159 Start Date 01/12/2012 Presentation by Orri Erling, OpenLink Software at Copernicus Big Data Workshop, Brussels, March 2014
  • 2. EU-FP7 GeoKnow. 21.01.2013 . Page 2 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data Consortium Institute for Applied Informatics Germany OpenLink Software United Kingdom Brox Germany Ontos Switzerland Unister Germany Athena Research and Innovation Center Greece
  • 3. EU-FP7 GeoKnow. 21.01.2013 . Page 3 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data The Love Story Ms. Globe dreams of Mr. Cube • Desiloization • Global semantics • Integrated metadata Mr. Cube dreams of Ms. Globe... • Critical mass? • Global scope • Relevant applications
  • 4. EU-FP7 GeoKnow. 21.01.2013 . Page 4 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data Mind the Gap ! • Scalability, On-Line Performance? • Data preparation, visualization tool chain? • Cost of deployment, availability of expertise? • Functionality — e.g., reference systems, linestring, polygon, multipolygon geo collection ...? • Complex functions... contains/within/intersects, intersection, centroid, convex hull ...?
  • 5. EU-FP7 GeoKnow. 21.01.2013 . Page 5 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data How will Mr. Cube prove himself ? Mr. Cube is an adventurer ... He sails to retrieve the Golden Fleece: • Column store, vectored execution • Scale-out, linear performance gain on clusters • Adaptive schema, i.e., pay for RDF flexibility only when using it In short, bring the cutting edge of relational technology to GIS and RDF
  • 6. EU-FP7 GeoKnow. 21.01.2013 . Page 6 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data State of Play • SPARQL — Virtuoso SPARQL 1.9 G point, 13bn triples LGD fragment, 2 node cluster • SQL single — Virtuoso SQL, 1.3G point OSM, 1 server • SQL Cluster — Virtuoso SQL Cluster, 1.3G point OSM, 2 node cluster • PostGIS — PostgreSQL, 1.3 G point OSM Workload: Drilldowns zooming down from Europe-wide to city-wide, LOD2 GeoBench
  • 7. EU-FP7 GeoKnow. 21.01.2013 . Page 7 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data Science Without End • Data Clustering • GIS mostly accesses nearby objects together • If also stored together, up to 3x boost for both SQL and SPARQL • With a cluster, co-locating geometry and thematic data pays; obvious with RDB, special trick with RDF • Adaptive Schema • With RDF, the properties that near-always occur together may as well be stored physically together • RDF will run just as fast as relational, but retain flexible schema
  • 8. EU-FP7 GeoKnow. 21.01.2013 . Page 8 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data GeoKnow Generator Stack • Virtuoso — high performance column store • Instance matching (LIMES, Fagi) • Format conversion, ETL, Enrichment (GeoLift, Fagi-tr) • Visualization (Facete, Mapify, Cubeviz)
  • 9. EU-FP7 GeoKnow. 21.01.2013 . Page 9 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data Proving The Point (Use Cases) • Benchmarks, cooperation with LDBC for more DI and DB benchmarking • Unister applies GeoKnow to E-commerce, e.g., tourism • Brox applies GeoKnow to car manufacturing logistics
  • 10. EU-FP7 GeoKnow. 21.01.2013 . Page 10 http://geoknow.eu Making the Web an Exploratory Place for Geospatial Data Consummation of the Relationship … Right now, PostGIS is good enough for many GIS applications • Use RDF in Virtuoso: Win in performance, Gain RDF flexibility • Use SQL in Virtuoso and win more. Later, during GeoKnow • Win 3x more with either SQL or SPARQL • Close the RDF to SQL performance gap The obstacles to RDF adoption went away ...