Dynamical construction of binary relations in coreference detection

Modern database systems allow to describe information from the real world in a well structured manner. Unfortunately, many databases cope with quality problems. One of these problems is the existence of coreferent data, which means that the same real world entity is described multiple times within one database. Due to errors, inaccuracies and lack of standardization, coreferent data are not bound to be equal, which makes the finding of coreferent data a challenging topic. In this paper, we contribute to the field of coreference detection by proposing an automated and dynamical method for the construction of a binary relation R that models semantical knowledge between attribute values. The advantages of the proposed method are two folded: no effort must be put in construction of knowledge bases and mismatches between the database and the knowledge base are avoided.