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In this work the ALSWEB framework is presented. The ALSWEB is a virtual linguistic laboratory for linguistic research developed as a web application. The purpose of the framework is to model the entire process regarding the different steps of data acquisition, data transformation, information acquisition from different data and research hypotheses verification in the ALS (Linguistic Atlas of Sicily)...
The identification of new useful patterns in data is a core process for intelligent systems. Information overflow is directly related to this problem. In this work we propose a knowledge discovery methodology to retrieve useful and novel information from raw data stored in a DBMS. We used ALSDB, a database that has been built suitably to access structured information obtained from the questionnaires...
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