Abstract:

Processing textual information in large files is time consuming and error prone. Investigating past and historical data concerning geography and economics can be facilitated a lot when the data is stored in a data base or has a proper form. There was a lot of research concerning the transformation of textual data to an ontology in a methodical way. In this paper, a method is presented for the extraction of geographic and economic information from a historic Lexicon. The method is based on software engineering techniques and follows an iterative cycle. It results in a well-defined ontology specified using UML class diagrams which can be queried using Object Constraint Language. An evaluation of the model is discussed.