Mining Configurations as introduced in [2,5] can be used to create new facts for entities, align ontologies to the underlying data and to discover synonymously used predicates. In the following we provide several files that contain interesting artifacts of our experimental results for browsing and reviewing purposes.
Amending RDF Entities with new Facts
Our data-driven amendment algorithm generates new facts based on high-confidence object to object rules. Our paper on that algorithm is currently under review. Hence, we provide the actual generated facts of experimental runs of our algorithm.
In addition to the generated triples each file contains the set of generated predicate rules and object rules. Before each set of generated facts a set of "Conditions" and a "Consequences" are denoted. They resemble all high-confidence rules Condition -> Consequence, on which basis we picked entities that needed to be amended with a new fact having the denoted Consequence as a property value.
http://dbpedia.org/resource/Follow_That_Egg%21 http://dbpedia.org/ontology/director http://dbpedia.org/resource/Trey_Parker .
Our algorithm generated based on the rule
http://dbpedia.org/resource/South_Park ---> http://dbpedia.org/resource/Trey_Parker
http://dbpedia.org/resource/Follow_That_Egg%21 http://dbpedia.org/ontology/director http://dbpedia.org/resource/Trey_Parker.
Files with generated facts:
Generated Facts for Thing Entities
Generated Facts for Person Entities
Generated Facts for Album Entities
Generated Facts for Animal Entities
Generated Facts for Artist Entities
Generated Facts for Film Entities
Generated Facts for Organisation Entities
Generated Facts for Place Entities
Generated Facts for Species Entities
Generated Facts for Work Entities
Generated Facts on YAGO2 (The underlying dataset is a cleaned version of YAGO2 as provided by the athor's of the AMIE project)
Reconciling Ontologies and the Web of Data
To analyze the performance of our ontology alignment algorithm [4,6] based on association rules, we provide the following file that contains the results of a complete analysis of DBpedia Infoboxes Ontology Data 3.6 and 3.7 that we reported in our paper .
|Type:|| current DBpedia class|
Set of predicates that have the DBpedia Class in their domain
|Candidates||Set of predicates that are proposed to be added to the Class mentioned above|
|Pushed Candidates:||Set of predicates that are proposed for this clss but were originally defined for a different class as illustrated.|
|Removed Predicates: ||Set of predicates that are proposed to be removed from that class.|
Experiments on Dbpedia 3.6
Experiments on DBpedia 3.7
Synonym Analysis for predicate Expansion
For the evaluation of our synonym discovery approach we manually checked all possible predicate pairs of two datasest, DBpedia Work 3.7 and magnatune .
The following two files contain all pairs of predicates that have been classified as synonymously interchangable by three computer scientists. Each line corresponds to a pair of synonym candidates.
DBpedia Work 3.7 synonyms