GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data - Technical Report

  title={GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data - Technical Report},
  author={Timo Homburg and Steffen Staab and Daniel Janke},
We introduce an approach to semantically represent and query raster data in a Semantic Web graph. We extend the GeoSPARQL vocabulary and query language to support raster data as a new type of geospatial data. We define new filter functions and illustrate our approach using several use cases on real-world data sets. Finally, we describe a prototypical implementation and validate the feasibility of our approach. 

GeoSPARQL 1.1: Motivations, Details and Applications of the Decadal Update to the Most Important Geospatial LOD Standard

In 2012, the Open Geospatial Consortium published GeoSPARQL defining “an RDF/OWL ontology for [spatial] information”, “SPARQL extension functions” for performing spatial operations on RDF data and

GeoSPARQL 1.1: an almost decadal update to the most important geospatial LOD standard (short paper)

Motivating change requests and actual resultant updates in the candidate version 1.1 of the GeoSPARQL standard are described alongside reference implementations and usage examples.

Scalable Transformation of Big Geospatial Data into Linked Data

This work presents the system GeoTriples-Spark, which is able to massively transform big geospatial data into RDF graphs using Apache Spark and shows that it exhibits superior performance and scalability when compared to all of its competitors.

SPARQLing Geodesy for Cultural Heritage New Opportunities for Publishing and Analysing Volunteered Linked (Geo-)Data

The Ogi Ogam Project aims to show an easy volunteered approach to modelling Irish `Ogam Stones` containing Ogham inscriptions in Wikidata and interlinking them with spatial information in OpenStreetMap and (geo)resources on the web.

GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale

The GeoVectors corpus captures semantic and geographic dimensions of OSM entities and makes these entities directly accessible to machine learning algorithms and semantic applications, and provides a SPARQL endpoint that offers direct access to the semantic and latent representations of geographic entities in OSM.

Region-Based Merging of Open-Domain Terminological Knowledge

A faithful translation of terminological knowledge provided by several and potentially conflicting sources into region spaces is first proposed, then the merging is performed on these spaces, and the result is translated back into the underlying language of the input sources.



Ontology-Based Data Access and Visualization of Big Vector and Raster Data

This work presents an Ontology-based data access technique, which enables the execution of GeoSPARQL queries over geospatial relational databases storing vector or raster data by performing on-the-fiy GeoSParQL-to-SQL translation using ontologies and mappings.

Strabon: A Semantic Geospatial DBMS

The performance of Strabon is studied experimentally and it is shown that it scales to very large data volumes and performs, most of the times, better than all other geospatial RDF stores it has been compared with.

Spatial query handling in semantic web application: an experience report

A detailed comparison of different combination of tools and substantiate facts are provided to select the right ones to seamlessly build a semantic web framework which provide effective spatial reasoning and perform semantic query over sensor web data.

Enabling the geospatial Semantic Web with Parliament and GeoSPARQL

The motivation for GeoSPARQL is described, the current state of the art in industry and research is explained, followed by an example use case, and finally the implementation of GeoSParQL in the Parliament triple store is described.

Modeling and Querying Metadata in the Semantic Sensor Web: The Model stRDF and the Query Language stSPARQL

The data model stRDF and the query language stSPARQL are developed, a constraint data model that extends RDF with the ability to represent spatial and temporal data and follows the main ideas of constraint databases.

SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries

This work presents a formal syntax and semantics for SPARQL-ST, an extension of SParQL for complex spatiotemporal queries, and describes a prototype implementation and demonstrates the scalability of this implementation with a performance study using large real-world and synthetic RDF datasets.

GeoSPARQL-Jena: Implementation and Benchmarking of a GeoSPARQL Graphstore

  • T. Osman
  • Computer Science
    European Conference on Knowledge Management
  • 2022
This work presents an RDF graphstore implementation for all six modules of the GeoSPARQL standard using the Apache Jena Semantic Web library and finds that the implementation achieves comparable or faster query responses than the alternative systems while also providing much faster dataset loading and initialisation durations.

SQL/MM Spatial - The Standard to Manage Spatial Data in a Relational Database System

This paper presents part 3 of the standard and discusses it critically, describing the spatial data types and methods on these types and the Information Schema, an important part for the handling of spatial data.

LinkedGeoData: Adding a Spatial Dimension to the Web of Data

This paper elaborates on how the collaboratively collected OpenStreetMap data can be transformed and represented adhering to the RDF data model and describes how it can be made accessible for machines according to the linked data paradigm and for humans by means of a faceted geo-data browser.

Spatio-Temporal Gridded Data Processing on the Semantic Web

A hybrid data store where efficiently represented arrays are incorporated as nodes into RDF graphs and connected to their metadata, and extended the Semantic Web query language SPARQL to incorporate array query semantics and other functionality making it suitable for processing of large numeric arrays, including geo coverages.