ISWC2022 Challenge

/International Semantic Web Challenge (ISWC) 2022
Two tasks are proposed :

  • Using federated SPARQL query that will consume Bio2RDF’s endpoints.
  • Using any programming approach that will consume Kibio’s Elasticsearch indexes.

Will REST JSON-LD APIs do better over SPARQL endpoints ? We will see.

How can we run the Wikidata FAIR paper SPARQL query without using Wikidata SPARQL endpoint ?


Two tasks are proposed :

  • Using federated SPARQL query that will consume Bio2RDF’s endpoints.
  • Using any programming approach that will consume Kibio’s Elasticsearch indexes.

Will REST JSON-LD APIs do better over SPARQL endpoints ? We will see.

SELECT DISTINCT ?compound ?compoundLabel where {

  # gene has genetic association with a respiratory disease  
  ?gene       wdt:P31    wd:Q7187 .
  ?gene       wdt:P2293  ?diseaseGA .
  ?diseaseGA  wdt:P279*  wd:Q3286546 .

  # gene product is localized to the membrane
  ?gene     wdt:P688             ?protein .
  ?protein  wdt:P681             ?cc .
  ?cc       wdt:P279*|wdt:P361*  wd:Q14349455 .

  # gene is involved in a pathway with another gene (gene2)
  ?pathway  wdt:P31   wd:Q4915012 ;
            wdt:P527  ?gene ;
            wdt:P527  ?gene2 .
  ?gene2    wdt:P31   wd:Q7187 . 

  # gene2 product has a Ser/Thr protein kinase domain AND known enzyme inhibitor  
  ?gene2     wdt:P688  ?protein2 .
  ?protein2  wdt:P129  ?compound ;
             wdt:P527  wd:Q24787419 ;
             p:P129    ?s2 .
  ?s2        ps:P129   ?cp2 .
  ?compound  wdt:P31   wd:Q11173 .
  FILTER EXISTS {?s2 pq:P366 wd:Q427492 .}

  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}

The query can be run using this link https://tinyurl.com/53ra32bp

Specifically, this query (depicted schematically at right) retrieves genes that are (i) associated with a respiratory system disease, (ii) that encode a membrane-bound protein, and (iii) that sit within the same biochemical pathway as (iv) a second gene encoding a protein with a serine-threonine kinase domain and (v) a known inhibitor, and reports a list of those inhibitors.


Two tasks are proposed :

  • Using federated SPARQL query that will consume Bio2RDF’s endpoints.
  • Using any programming approach that will consume Kibio’s Elasticsearch indexes.

Will REST JSON-LD APIs do better over SPARQL endpoints ? We will see.

More information about ISWC: https://iswc2022.semanticweb.org/

How to participate

Challenge Wikidata datasets

Challenge datasources to be used

Challenge rules