Genealogical Data Mining from Historical Archives: The Case of the Jewish Community in Pisa

The Jewish community archive in Pisa owns a vast collection of documents and manuscripts that date back centuries. These documents contain valuable genealogical information, including birth, marriage, and death records. This paper aims to describe the preliminary results of the Archivio Storico dell...

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Bibliographic Details
Published in:Informatics (Basel) 2023-06, Vol.10 (2), p.42
Main Authors: Lo Duca, Angelica, Marchetti, Andrea, Moretti, Manuela, Diana, Francesca, Toniazzi, Mafalda, D’Errico, Andrea
Format: Article
Language:English
Subjects:
Accuracy
Analysis
Archives & records
Case studies
Community
Computational linguistics
Cultural heritage
Culture
Data mining
Death
digital humanities
digital manuscripts
Digitization
Documents
entity extraction
Genealogical libraries
genealogical tree
Genealogy
Jewish life & ethics
Jewish people
Jews
Knowledge bases (artificial intelligence)
Language processing
Names
Natural language interfaces
Natural language processing
Synagogues
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Summary:The Jewish community archive in Pisa owns a vast collection of documents and manuscripts that date back centuries. These documents contain valuable genealogical information, including birth, marriage, and death records. This paper aims to describe the preliminary results of the Archivio Storico della Comunita Ebraica di Pisa (ASCEPI) project, with a focus on the extraction of data from the Nati, Morti e Ballottati (NMB) Registry document in the archive. The NMB Registry contains about 1900 records of births, deaths, and balloted individuals within the Jewish community in Pisa. The study uses a semiautomatic pipeline of digitization, transcription, and Natural Language Processing (NLP) techniques to extract personal data such as names, surnames, birth and death dates, and parental names from each record. The extracted data are then used to build a knowledge base and a genealogical tree for a representative family, Supino. This study demonstrates the potential of using NLP and rule-based techniques to extract valuable information from historical documents and to construct genealogical trees.
ISSN:2227-9709
2227-9709
DOI:10.3390/informatics10020042