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This is a data set containing references to information published by the media regarding the Partygate parties held by the government of the UK.

The information has all been gleaned from published information from the media, and no claims are made about the accuracy of the information in this dataset. The dataset contains links to some published reports for sourcing.

There is a demo which allows easy navigation of the data at SPARQL Sleuth. This is powered by the SPARQL Sleuth SPARQL navigator, and a SPARQL endpoint serving the data.

Here are some interesting entry points:

• May 15 2020, Wine and Cheese party
• Suitcase of wine party
• Dec 18 2020, 10 Downing Street
• Dec 14 2020, CCHQ
• Alcohol this is a representation of the consumption of alcohol.

There is a SPARQL endpoint at https://partygate-sparql-prod-wrennwfy6q-ew.a.run.app which accepts SPARQL 1.0 queries against the data. Think of this as a way to run a query against the underlying data. There is no visualisation, the SPARQL endpoint is there to allow other applications to access the data. This endpoint can be queried from Python using sparqlwrapper, for instance.

Here are some example queries:

Query:

  SELECT DISTINCT * WHERE {<https://e623fd-partygate/suitcase-of-wine> ?prop ?value . }

See human-readable results

See raw results from the query

Query:

  PREFIX pgp: <https://e623fd-partygate/p#>
  PREFIX pg: <https://e623fd-partygate/>
  PREFIX rdfs: <https://www.w3.org/2000/01/rdf-schema#>
  SELECT ?party
  WHERE {
    ?id rdfs:label ?party .
    ?id pgp:attended-by pg:boris-johnson .
  }

See human-readable results from this query

See raw results from this query

Query:

  PREFIX pgp: <https://e623fd-partygate/p#>
  PREFIX pg: <https://e623fd-partygate/>
  PREFIX rdfs: <https://www.w3.org/2000/01/rdf-schema#>
   SELECT DISTINCT ?party ?breaks
   WHERE {
    ?a rdfs:label ?party .
    ?a pgp:contravenes ?d .
    ?d rdfs:label ?breaks .
    ?a pgp:attended-by pg:boris .
  }

See human-readable results from this query

See raw results from this query

  PREFIX pgp: <https://e623fd-partygate/p#>
  PREFIX pg: <https://e623fd-partygate/>
  PREFIX rdfs: <https://www.w3.org/2000/01/rdf-schema#>
  SELECT ?party
  WHERE {
    ?id rdfs:label ?party .
    ?id pgp:location https://e623fd-partygate/no-10 .
  }

See human-readable results from this query

See raw results from this query

• partygate.ttl - the source data in Turtle format
• partygate.json - the same data in JSON format
• partygate.ntriples - the same data in N-triple format
• partygate.rdf - the same data in RDF/XML format

The dataset is a RDF triples. Apart from the 'type' and 'label' properties the dataset uses an internal ontology. RDFS types are contained within the dataset.

If you're curious about the implementation, the included Makefile contains data conversion and builds the demo, including the SPARQL endpoint.

The SPARQL endpoint is my project which is just an HTTP wrapper around the Redland library, which does all the SPARQL execution and triple-store management.

The serve.go code in this repository provides the web service and proxies out to the SPARQL service.

The Makefile builds two containers which are hosted on Docker hub:

• docker.io/cybermaggedon/partygate-web provides the web interface and LodLive application.
• docker.io/cybermaggedon/partygate-sparql provides the SPARQL endpoint and contains the underlying data.

The Makefile run target runs the containers if you need a hint as to how to run the containers.

As curious, crazy and contentious as this topic is, I'm a linked data developer, and turning complex information into navigable knowledge is fun.

Copyright © 2022 Cyberapocalypse Limited

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

No claims are made as to the accuracy of this data.