Traverse Link Relation

Combines the functionalities of Traverse relation and Cross dataset blocks. Like Cross dataset, it allows to map objects from a dataset onto another. However, rather than comparing their identifiers to determine a mapping, it relies on a third dataset (a "link dataset" LS) which contains explicit mappings in the form of additional triples. The predicate to consider in the link dataset can be specified as a parameter. Mapping links can be traversed forward and backward.

• A [OBJ]: a list of objects
• LS [OBJ]: a dataset containing objects from both A and B and mappings in the form of triples
• B [OBJ]: a list of objects

• PAIR [OBJ,OBJ]: a successful mapping where the first column comes from A and the second column comes from B
• resA [OBJ]: the first column of PAIR
• resB [OBJ]: the second column of PAIR

• Predicate: the predicate of a graph triple (subject,predicate,object)
• Use sub-predicates: when set to true, the values of all sub-predicates are also included. Sub-predicates can be defined in the data with the rdfs:subPropertyOf relation.
• Direction: the direction to use when traversing the relation with the given Predicate and SOURCE
  • Forward: (A, Predicate, B = ?)
  • Backward: (A = ?, Predicate, B)
  • Either: the result contains the union of Forward and Backward results

Output scores can be aggregated and/or normalized.