1. Statistical Knowledge Patterns: Identifying Synonymous Relations in Large Linked Datasets
Ziqi Zhang, Anna Lisa Gentile, Eva Blomqvist, Isabelle Augenstein, Fabio Ciravegna

2. Motivation dbpedia:label rdfs:label dbpedia:name foaf:name
dbpedia:lakeName

3. SKP Example

4. SKP Construction Property Subject-Object dbpedia:name lake1-Big Lake
Dbpedia:Lake
dbpedia:name
Big Lake
lake1
Property
Subject-Object
dbpedia:name
lake1-Big Lake
lake3-Sweet Lake
dbpedia:label
lake3-Sweet lake
lake4-Good Lake
dbpedia:lakeName
lake2-Bad Lake
dbpedia:label
Big Lake
lake2
dbpedia:lakeName
Bad Lake
dbpedia:label
Sweet Lake
lake3
dbpedia:lakeName
Sweet Lake
dbpedia:name
Sweet Lake
lake4
dbpedia:label
Good Lake

5. Property Clustering Synonymity Triple Overlap Subject Agreement
Cardinality Ratio
dbpedia:name
dbpedia:lakeName
dbpedia:label

6. Evaluation Two sets of experiments Dataset SKP Observation
Query Expansion
Dataset
DBpedia SPARQL endpoint
34 DBpedia classes from QALD1

7. SKP Observation Measurement Three methods for setting threshold
#Property
Fraction of triples covered
Three methods for setting threshold
Absolute threshold
Certain fraction
Normalized threshold

8. SKP Observation Absolute threshold Certain fraction
Normalized threshold

9. Characteristics of the generated SKPs
78% of the properties are not defined in DBpedia ontology!

10. Using SKPs for Query Expansion
For each property ri defined in reference ontology
SELECT DISTINCT ?s ?o
WHERE {
?s a Main_Concept_of_SKP.
?s ri ?o. }

11. Using SKPs for Query Expansion

12. Using SKPs for Query Expansion

13. Conclusion
-Bottom-up & Data-oriented -Reduce the number of properties -Query Expansion

14. Thanks!