The fifty letters found at Tell Harmal can provide a significant evidence on the relationships among citizens, local authorities and the Palace in the kingdom of Ešnunna. They also offer important elements for a study of the Ešnunna old Babylonian grammar. For these reasons these texts have been selected as a first step in the e-Shnunna Project, that is part of the most complex TIGRIS Project. In this project, beside the assyriological methodologies, ENEA-GRID facilities are employed: they include an innovative approach to the study of cuneiform corpora by a software application for Text Analysis (TaLTaC2) and Data Mining tools (ASTEC). In this paper, some preliminary results, obtained mainly thanks the experimental analysis, are presented. A detailed description of procedures and systems employed in studying documents is also given and the general project is synthetically presented.

Data Mining Tools and GRID Infrastructure for Assyriology Text Analysis (An Old-Babylonian Situation Studied through Text Analysis and Data Mining Tools)

Bracco, Giovanni;Migliori, Silvio;Mencuccini, Giorgio;Alderuccio, Daniela;Ponti, Giovanni
2013

Abstract

The fifty letters found at Tell Harmal can provide a significant evidence on the relationships among citizens, local authorities and the Palace in the kingdom of Ešnunna. They also offer important elements for a study of the Ešnunna old Babylonian grammar. For these reasons these texts have been selected as a first step in the e-Shnunna Project, that is part of the most complex TIGRIS Project. In this project, beside the assyriological methodologies, ENEA-GRID facilities are employed: they include an innovative approach to the study of cuneiform corpora by a software application for Text Analysis (TaLTaC2) and Data Mining tools (ASTEC). In this paper, some preliminary results, obtained mainly thanks the experimental analysis, are presented. A detailed description of procedures and systems employed in studying documents is also given and the general project is synthetically presented.
ICT TECHNOLOGIES;GRID TECHNOLOGIES;HUMAN LANGUAGE TECHNOLOGIES (MULTILINGUAL TEXT MINING);DATA MINING;VIRTUAL LABS;DIGITAL HUMANITIES (e-Humanities) (e-Assyriology)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12079/4317
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