Semantical mapping of attribute values for data integration

Nowadays the amount of data is increasing very fast. Moreover, useful information is scattered over multiple sources. Therefore, automatic data integration that guarantees high data quality is extremely important. One of the crucial operations in integration of information from independent databases is detection of different representations of the same piece of information (called coreferent data) and translation of the representation of data from one source into the representation of the other source. That translation is also known as object mapping. In this paper, we investigate automatic mapping methods for attributes the values of which may need semantical comparison and can be sorted by means of an order relation that reflects a notion of generality. These mapping methods are investigated closely in terms of their effectiveness. An experimental evaluation of our method shows that using different mapping methods can enlarge a set of true positive mappings.