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Legacy data or just archaeological data?

  • Autores: Andrea D'Andrea
  • Localización: Archeologia e calcolatori, ISSN 1120-6861, Nº. 35, 2, 2024, págs. 381-386
  • Idioma: inglés
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  • Resumen
    • The world of research is currently undergoing a profound transformation, characterized by the extensive use of digital data available online. To optimize the utilization of these resources, artificial intelligence offers researchers several tools capable of aggregating both structured and unstructured information. The need to train algorithms to enhance the use of artificial intelligence techniques in data classification has led to the creation of structured datasets. However, it is not always possible to fully automate the transfer of data to more modern environments without substantial human intervention, aimed at extracting the implicit knowledge present in digital data. The category of CAD data appears to be particularly challenging in terms of automated management of spatial resources. The use of graphical entities for digital drawings, without semantically identified components, makes automatic conversion into GIS extremely complex. The paper is based on a partial test conducted on a cartographic archive that has been formed over 70 years of field research, aiming to demonstrate the importance of prioritizing legacy spatial data, both digital and non-digital, as archaeological data.


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