Table 3 The tested queries implemented in this experimental study

Q1. Return the list of authors and titles of papers that have a rdf: type value proceeding

Q2. Select all proceedings papers with property swrc: pages or swrc: month or swrc: isbn

Q3. Extract all proceedings papers with properties dc: creator, swrc: booktitle, swrc: isPartOf, rdfs: seeAlso, dc: title, swrc: homepage, dc: subject and optionally swrc: abstract, considering their values

Q4. Return all proceedings papers that they are accepted in iswc conference 2008

Q5. Select all distinct pairs of paper author names for authors that have published in the same journal

Q6. Return all full papers and short papers accepted in the rule-ML conference 2011

Q7. Extract all proceedings papers with the machine learning topic

Q8. Extract 10 resources that are somehow related to each other

Q9. Return all the proceedings papers accepted in all conferences described in swdf dataset with the semantic web or machine learning topics

Q10. Return all subjects that stand in any relation to person “Annabel Bourde”

Q11. Compute authors that have published with Annabel Bourde or with an author that has published with Annabel Bourde

Q12. Extract all the name of persons and their papers including the type and the subject