T2.4 – Geospatial clustering

This task implements reorganization of data according to geospatial locality so that thematic data ­­­pertaining to geospatially close geometries is nearly always clustered together in physical storage. Since geospatial access patterns are most often geo-local, it makes sense to also reflect this locality in the placement of thematic data. Technically, this consists of renumbering IRI identifiers according to the geospatial attributes that depend on them through one or more reference steps. This further means that in a cluster system the feature and its thematic content will be co-located on the same server. The benefits will be much higher retrieval speed due to more localized access patters, thus deriving full benefit from vectored execution and column store techniques that rely on locality for performance.

Deliverables

D2.4.1 Geospatial Clustering

Other Tasks in this Workpackage

T2.1 State of the Art in geospatial and semantic data management
T2.2 Integration with external geospatial databases
T2.3 Geospatial query optimization
T2.5 Distributed geospatial capabilities
T2.6 Geospatial problem solving
T2.7 Exposing INSPIRE data as Linked Data

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Universität Leipzig , InfAI: Institut für Angewandte Informatik

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EU Seventh Framework Programme (FP7)

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News

EDF2015 and Linked Data Europe: Big Geospatial Data Workshop ( 2015-11-24T23:46:33+01:00 Alejandra Garcia Rojas)

2015-11-24T23:46:33+01:00 Alejandra Garcia Rojas

In 2015, the European Data Forum took place in Luxembourg on the 16th and 17th November. GeoKnow team had the pleasure to be present at the event with a booth for showing GeoKnow results. The conference welcomed over 700 participants from industry, research, policy makers, and community initiatives form all over Europe. Read more about "EDF2015 and Linked Data Europe: Big Geospatial Data Workshop"

Linked Open Data Switzerland at SWBI2015 ( 2015-10-12T09:56:15+02:00 Daniel Hladky)

2015-10-12T09:56:15+02:00 Daniel Hladky

Daniel Hladky from Ontos presented GeoKnow at the SWBI2015 conference two talks. The first talk was the keynote on October 7, 2015 with the title “Linked Data Service (LINDAS): Status quo of the Linked Data life-cycle and lessons learned“. Read more about "Linked Open Data Switzerland at SWBI2015"

FAGI-gis: fusing geospatial RDF data ( 2015-10-05T13:08:20+02:00 Giorgos Giannopoulos)

2015-10-05T13:08:20+02:00 Giorgos Giannopoulos

GeoKnow introduces the latest version of FAGI-gis, a framework for fusing Linked Data, that focuses on the geospatial properties of the linked entities. Read more about "FAGI-gis: fusing geospatial RDF data"

GeoKnow Public Datasets ( 2015-09-19T16:15:29+02:00 Alejandra Garcia Rojas)

2015-09-19T16:15:29+02:00 Alejandra Garcia Rojas

In this blogpost we want to present three public datasets that were improved/created in GeoKnow project. LinkedGeoData Size: 177GB zipped turtle file URL: http://linkedgeodata.org/ LinkedGeoData is the RDF version of Open Street Map (OSM), which covers the entire planet geospatial data information. Read more about "GeoKnow Public Datasets"

GeoKnow at Semantics 2015, Vienna ( 2015-09-18T15:12:48+02:00 Alejandra Garcia Rojas)

2015-09-18T15:12:48+02:00 Alejandra Garcia Rojas

Several partners of GeoKnow were present this year at the Semantics conference 2015. The previous day of the conference we organised a workshop about the work done during these last three years in GeoKnow. Read more about "GeoKnow at Semantics 2015, Vienna"