Abstract
This research may contribute to the development of studies for geographically investigate or ethnic historically the origins or changes of Geographical Names. According Rostaing “The Toponymy intends to seek the origin of place names and also to study its transformations. “Quantifying these changes can reveal relationships proximity of words that the indicator is proposed. Example: change naming a neighborhood of Rio de Janeiro City- BR suffered, formerly known as “REAL ENG °” becoming in the “Realengo” neighborhood. Assign a distance value of this change can reveal never before made associations. Thus, research walked in the search for solutions that fit issues of computational linguistics and textual similarity indices applied to the Geographical Names, that these attributes become binding key-in processing queries to different databases. The goal is to enable the management and recovery of a large body of data. This indicator similarity proposed in this paper has been tested and confronted between experiments with simulated data. The main results of the experiments recognized standards in testing, and the importance of the variable noise position in the string, as well as usage limits for similarity component in the integration of databases.
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