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.

Bridging Representation and Visualization in Prosopographic Research: A Case Study

Alessandra Urbinati
;
Enrico Burdisso;Claudio Mattutino;Salvatore Vilella;Alfonso Semeraro;Giancarlo Ruffo;Carlo Corti;Stefano De Martino;Elena Devecchi;Erica Scarpa;Giulia Torri;Rossana Damiano
2022-01-01

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.
2022
1st Workshop on Artificial Intelligence for Cultural Heritage
Udine
28 november 2022
Proceedings of the 1st Workshop on Artificial Intelligence for Cultural Heritage
Sun SITE Central Europe, Technical University of Aachen
80
92
https://ceur-ws.org/Vol-3286/
Alessandra Urbinati, Enrico Burdisso, Arthur Thomas Edward Capozzi Lupi, Claudio Mattutino, Salvatore Vilella, Alfonso Semeraro, Giancarlo Ruffo, Ca...espandi
File in questo prodotto:
File Dimensione Formato  
Bridging Representation_CEUR paper.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 2.98 MB
Formato Adobe PDF
2.98 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1884303
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact