Cross-Layer Traceability Competency Questions

Intent

Trace a claim or argument back to the sentences from which it was extracted or grounded.

Natural Language Question

Which sentences give rise to this claim?

SPARQL Query

PREFIX rdf:  
PREFIX idea: 
PREFIX po:   
PREFIX prov: 

SELECT DISTINCT ?arg ?para
WHERE {
  idea:work-semsur-2018 po:contains ?arg .
  ?arg prov:wasDerivedFrom ?para .
}

Semantic modeling of scholarly documents |
"We evaluated the SemSur ontology ..."

Semantic modeling of scholarly documents |
"The results indicates that ..."

Intent

Identify extracted entities that participate in or are referenced during the construction of an argument.

Natural Language Question

Which extracted entities are used in constructing this argument?

SPARQL Query

PREFIX idea: 
PREFIX cito: 

SELECT DISTINCT ?para
WHERE {
  ?cite cito:hasCitingEntity idea:work-semsur-2018 .
  ?cite cito:hasCitationContext ?para .
}

"These findings are consistent with earlier studies ..."
"Expert assessment followed the evaluation framework ..."

Intent

Identify document sections that provide primary textual support for artifacts used in constructing an argument.

Natural Language Question

What document sections contribute most to the final claim?

SPARQL Query

PREFIX rdfs: 
PREFIX idea: 
PREFIX po:   
PREFIX cito: 

SELECT DISTINCT ?para ?citationType
WHERE {
  idea:work-semsur-2018 po:contains ?arg .
  ?arg idea:realizes ?app .
  ?app idea:uses ?art .

  ?cite cito:hasCitingEntity ?art ;
        cito:hasCitedEntity ?para ;
        ?citationType ?para .

  ?citationType rdfs:subPropertyOf cito:cites .
}

"These findings are consistent with earlier studies ..." | usesMethodIn