T2.3 – Geospatial query optimization

This task implements query optimization based on deep sampling with geospatial predicates. As a query plan is being constructed by the optimizer, it is evaluated on a randomly sampled subset of the data, thus detecting selectivity of joins with real data instead of precomputed statistics. This is robust in the face of data correlations, whereas reliance on precomputed statistics assumes independence of attributes, which is rarely the case. The task applies these methods specially to ordering of geospatial joins and to join order decisions involving spatial and non-spatial criteria.

Deliverables

D2.3.1 Prototype of built-in geospatial capabilities

Other Tasks in this Workpackage

T2.1 State of the Art in geospatial and semantic data management
T2.2 Integration with external geospatial databases
T2.4 Geospatial clustering
T2.5 Distributed geospatial capabilities
T2.6 Geospatial problem solving
T2.7 Exposing INSPIRE data as Linked Data

Hosted by

Universität Leipzig , InfAI: Institut für Angewandte Informatik

Funded by

EU Seventh Framework Programme (FP7)

Community and Social Media

Google+

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"