Bridging Representation and Visualization in Prosopographic Research: A Case Study
Contributo in Atti di convegno
Data di Pubblicazione:
2022
Abstract:
In the last decade, the research on ancient civilizations has started to rely more and more on data science
to extract knowledge on ancient societies from the written sources delivered from the past. In this
paper, we combine two well-established frameworks: Linked Data to obtain a rich data structure, and
Network Science to explore different research questions regarding the structure and the evolution of ancient
societies. We propose a multi-disciplinary pipeline where, starting from a semantically annotated
prosopographic archive, a research question is translated into a query on the archive and the obtained
dataset is the input to the network model. We applied this pipeline to different archives, a Hittite and a
Kassite collection of cuneiform tablets. Finally, network visualization is presented as a powerful tool to
highlight both the data structure and the social network analysis results.
Tipologia CRIS:
04A-Conference paper in volume
Elenco autori:
Alessandra Urbinati, Enrico Burdisso, Arthur Thomas Edward Capozzi Lupi,
Claudio Mattutino, Salvatore Vilella, Alfonso Semeraro, Giancarlo Ruffo,
Carlo Corti, Stefano De Martino, Elena Devecchi, Erica Scarpa, Giulia Torri,
Rossana Damiano
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Link al Full Text:
Titolo del libro:
Proceedings of the 1st Workshop on Artificial Intelligence for Cultural Heritage
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