Integration of many different sources and expertise is a key factor to solve specific research problems, especially in areas such as social sciences. The FAITH (Fight Against Injustice Through Humanities) project’s main objective is to provide common tools and methodology for the collection, digitization and integration of different historical sources. In particular, the proposed solution involves the employ- ment of an unique meta-model gathering information from different artifacts. More- over, the FAITH project aims at applying data analysis techniques (e.g. bayesian networks, natural language processing techniques, image processing techniques) to provide insights about social issues in a diachronic perspective.

The FAITH project: integrated tools and methodologies for digital humanities / A. Ferrara, S. Picascia, E. Rocchetti, G. Varese (FUORI COLLANA). - In: Proceedings of the Statistics and Data Science Conference / [a cura di] P. Cerchiello, A. Agosto, S. Osmetti, A. Spelta. - [s.l] : EGEA, 2023 May. - ISBN 978-88-6952-170-6. - pp. 323-327 (( convegno SDS - Statistics and Data Science tenutosi a Pavia nel 2023.

The FAITH project: integrated tools and methodologies for digital humanities

A. Ferrara
Primo
;
S. Picascia
Secondo
;
E. Rocchetti
Penultimo
;
G. Varese
Ultimo
2023

Abstract

Integration of many different sources and expertise is a key factor to solve specific research problems, especially in areas such as social sciences. The FAITH (Fight Against Injustice Through Humanities) project’s main objective is to provide common tools and methodology for the collection, digitization and integration of different historical sources. In particular, the proposed solution involves the employ- ment of an unique meta-model gathering information from different artifacts. More- over, the FAITH project aims at applying data analysis techniques (e.g. bayesian networks, natural language processing techniques, image processing techniques) to provide insights about social issues in a diachronic perspective.
digital humanities; data integration; data analysis
Settore INF/01 - Informatica
mag-2023
http://archivio.paviauniversitypress.it/oa/9788869521706.pdf
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/984329
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