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A geospatial source selector for federated GeoSPARQL querying.

Antonis Troumpoukis¹, Stasinos Konstantopoulos¹, Nefeli Prokopaki-Kostopoulou²

¹Institute of Informatics and Telecommunications, National Center for Scientific Research (NCSR) Demokritos, Ag. Paraskevi, 15341, Greece.

Open Research Europe

|August 30, 2023

Summary

This study introduces a geospatial summary method to improve federated GeoSPARQL query processing. By summarizing data source extents, it enhances the efficiency and effectiveness of querying linked geospatial data.

Keywords:

Federated and distributed query processing GeoSPARQL query processing Linked geospatial data Source selection

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Area of Science:

Semantic Web technologies
Geospatial linked data
Federated query processing

Background:

Geospatial linked data integrates rich descriptions with geo-location, expanding Semantic Web capabilities.
Challenges remain in fully integrating geospatial data within Semantic Web technologies, particularly in federated query processing.

Purpose of the Study:

To explore annotating data sources with bounding polygons summarizing spatial extents.
To use these summaries as a criterion for source selection in federated queries.
To improve the effectiveness of federated GeoSPARQL query processing.

Main Methods:

Annotating data sources with bounding polygons representing spatial resource extent.
Implementing a source selection method using these polygons to reduce queried sources.
Evaluating the method with varying summary accuracy against a baseline.

Main Results:

More complex spatial summaries increase source selection time but improve precision.
Reduced planning and execution times partially or fully offset slower source selection.
Federated sources are protected from unnecessary queries, enhancing overall efficiency.

Conclusions:

The proposed source selection method significantly enhances federated GeoSPARQL query processing effectiveness.
The method is validated using agroenvironmental data for crop-type and water availability.
This approach optimizes the querying of linked geospatial data in the Semantic Web.