A Probabilistic Relational Model (PRM), , , is a directed
probabilistic graphical model used in the field of Statistical
Relational Learning (SRL). PRMs define a language that can be
used to describe the relationships - structural and
probabilistic - between classes and variables, and thus allows
representing dependencies between sets of objects. Heckerman et
al. introduced the directed acyclic probabilistic entity-
relationship (DAPER) model which is based on the entity-
relationship model used to design relational databases. ProbReM
is built on the DAPER specification of a PRM, thus it requires
the data to be modelled with a entity-relationship diagram. The
probabilistic structure defines the dependencies among the
probabilistic attributes of the entity-relationship model. The
parent and the child attribute of a dependency can be associated
with different entities or relationships; Getoor et al. refer to
the path from child to parent attribute the slotchain whereas
Heckerman et al. associate a more general co