In the last decade, the research on ancient civilizations has started to rely more and more on data sci-ence 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 an-cient 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.
Bridging Representation and Visualization in Prosopographic Research: A Case Study / 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. - ELETTRONICO. - (2022), pp. 1-12. (Intervento presentato al convegno 1st Workshop on Artificial Intelligence for Cultural Heritage co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) tenutosi a Udine nel 28/11/2022).
Bridging Representation and Visualization in Prosopographic Research: A Case Study
Carlo Corti;Stefano De Martino;Erica Scarpa;Giulia Torri;
2022
Abstract
In the last decade, the research on ancient civilizations has started to rely more and more on data sci-ence 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 an-cient 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.File | Dimensione | Formato | |
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