A plea for an upgrade to the digital craft of the historian and digital methodology for discovering the past

November 21, 2022 Β· Declared Dead Β· πŸ› arXiv.org

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Salvatore Spina arXiv ID 2211.11861 Category cs.HC: Human-Computer Interaction Cross-listed cs.DL Citations 0 Venue arXiv.org Last Checked 5 months ago
Abstract
This essay aims to bid analogue historians assume that digitisation is the first step to creating historical heritage based on the new language of Science: Computer Science. As we know, Humanities disciplines cannot easily be encapsulated in a few understandable numbers and names. However, historians must boost Artificial Intelligence (such as Transkribus) and Neural Networks to let the Machine infer meaning from the digitised historical primary source and become the most powerful tool to help historians understand what happened in the Past. Historians (collaborating with data scientists, expert annotators, librarians, archivists, and others, who are crucial to the successful management of digital data collection) have to create the primary ontology, starting from coding manuscripts into digital text, as the Biscari Archive (Italy) study case.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Human-Computer Interaction

Died the same way β€” πŸ‘» Ghosted