Address Normalization

In this paper, we study the problem of matching records that contain address information, including attributes such as Street-address and City. To facilitate this matching process we propose a domain-specific procedure to first enrich each record with a more complete representation of the address information through geocoding and reverse-geocoding, and second to select the best similarity measure per each address attribute, that will finally help the classifier to achieve the best f-measure.