Articles by Bernardo Rondelli

2023 Open Access Article Download PDF BibTeX

Developing a digital archaeology classification system using Natural Language Processing and Machine Learning techniques

Alessandra Caravale, Nicolau Duran-Silva, Berta Grimau, Paola Moscati, Bernardo Rondelli

Abstract

The Authors propose a knowledge map to analyse and access scientific contents related to Digital Archeology by leveraging various Machine Learning (ML) techniques. The case study concerns the articles published in our international journal «Archeologia e Calcolatori» in the decade from 2011 to 2020 and, as a benchmark, the publications in the ‘Computer Applications and Quantitative Methods in Archaeology’ (CAA) conference proceedings and journal. The titles and abstracts of the publications featured in these two data sets were analysed using a supervised classification approach into the subfields of computer science, based on the ACM’s taxonomy, and by applying topic modelling techniques to discover emergent topics, Named Entity Recognition to identify specific archaeologically relevant entities, and geotagging techniques to link articles with the geographical locations they discuss. The results achieved, although preliminary, provide some methodological suggestions: i) the opportunity to build custom analyses by taking advantage of the increasing availability of open data and metadata; ii) the scope of the contribution of archaeology, and in particular of computational archaeology, to the Heritage Science interdisciplinary domain; the heuristic and predictive role of different ML techniques to gain a multi-faceted access to data analysis and interpretation.

«Archeologia e Calcolatori» 2023, 34.2, 9-32; doi: 10.19282/ac.34.2.2023.01

2013 Open Access Article Download PDF BibTeX

SimulPast: un laboratorio virtual para el análisis de las dinámicas históricas

Jorge Caro Saiz, Débora Zurro, Bernardo Rondelli, Andrea Balbo, Xavier Rubio Campillo, Joan A. Barceló, Ivan Briz i Godino, Joaquim Fort, Marco Madella

Abstract

The use of Computer Simulation for the study of Physics or Biology has its roots in the 1940s. The Social Sciences and Humanities have recently become aware of the heuristic potential computational models have for the study of social dynamics, generating the new field of Social Simulation. Specifically, from the first applications of Computer Simulation to Archaeology, their complementary nature has been proved. Computer Simulation provides an ideal context as a virtual laboratory in which to experiment with dynamic processes and Archaeology provides the possibility of generating information about past social processes, both short and long-term. However, we need to make a profound epistemological and methodological reflection about the nature of this tool and the implications of using it in Archaeology. On this basis, SimulPast aims to develop a theoretical and methodological research platform, which is both innovative and trans-disciplinary. The Project aspires to improve the study of historical, social and ecological dynamics of human societies as well as to stimulate the debate on the scientific research process at large.

«Archeologia e Calcolatori» 2013, 24, 265-281; doi: 10.19282/ac.24.2013.13