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A SPARQL Query Client

Project description

ASQC provides a simple command-line SPARQL query client.

The intent is that this client can be used in Unix-style pipeline operations to perform sequences of query operations that pass information as RDF (from CONSTRUCT queries) or variable bindings (from SELECT queries).

# Installation

Assumes Python 2.7 installed; not yet tested with other versions.

Installation is from Python Package Index (PyPI).

## MacOS / Linux

### Temporary installation

This option assumes that the virtualenv package ( has been installed.

Select working directory, then:

virtualenv testenv source testenv/bin/activate pip install asqc

When finished, from the same directory:

deactivate rm -rf testenv

### System-wide installation (needs root privileges)

sudo pip install asqc

If older versions of rdflib and/or other utilities are installed, it may be necessary to force an upgrade, thus:

sudo pip install –upgrade asqc

# Example queries

The directory “examples” contains some sample files containing queries and prefix declarations that can be used with the following commands.

To obtain the full path name of the examples directory, enter:

asq –examples

Commands below for running the examples assume this is the current working directory.

## Query Dbpedia endpoint

This example comes from the Dbpedia front page. It returns a list of musicians born in Berlin, by sending a SPARQL query to the Dbpedia SPARQL emndpoint.

asq -e -p dbpedia.prefixes -q dbpedia-musicians.sparql

## Query SKOS ontology

This example retrieves the SKOS ontology RDF file and runs the SPARQL query locally. It returns a list of classes defined by the ontology.

asq -r -p skos.prefixes

“SELECT DISTINCT ?c WHERE { ?c rdf:type owl:Class }”

A similar query using CONSTRUCT returns the information as an RDF graph:

asq -r -p skos.prefixes

“CONSTRUCT { ?c rdf:type owl:Class } WHERE { ?c rdf:type owl:Class }”

## Composition of queries to different data sources

This example shows how ASQ can be used to fetch results from different sources and combine the results. SELECT query results from one query can be used to constrain the results returned by a second query.

This example uses Dbpedia and BBC Backstage SPARQL endpoints to create a list of Actors from Japan who appear in BBC television programmes:

asq -e -p dbpedia.prefixes

-q dbpedia-people-from-japan.sparql >dbpedia-people-from-japan.json

asq -e -p dbpedia.prefixes

-b dbpedia-people-from-japan.json -q bbc-people-starring-in-television-shows.sparql

or, equivalently, piping bindings from one asq command straight to the next:

asq -e -p dbpedia.prefixes

-q dbpedia-people-from-japan.sparql |

asq -e -p dbpedia.prefixes

-b - -q bbc-people-starring-in-television-shows.sparql

Notes: * The query to the BBC backstage endpoint can take a little time to complete (about 30 seconds) * These queries work in part because BBC backstage makes extensive use of the Dbpedia ontologies * It is possible that this particular result could have ben obtained from BBC backstage alone, as it replicates information from Dbpedia, but the example has been constructed to use information from the different endpoints. * Joining queries in this way when sending queries to different endpoints is not scalable n the current implementation of ASQ: all available results are retrieved from both services, then joined inthe ASQ client. (I am thinking about possible ways to use the results from one query to limit what comes from the next. When querying RDF resources, results from one query are used directly to constrain the results of the next query.)

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