TY - GEN
T1 - Historical data preservation and interpretation pipeline for irish civil registration records
AU - Beyan, Oya
AU - Mealy, P. J.
AU - Grant, Dolores
AU - Grant, Rebecca
AU - Harrower, Natalie
AU - Breathnach, Ciara
AU - Collins, Sandra
AU - Decker, Stefan
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Semantic Web technologies give us the opportunity to understand today’s data-rich society and provide novel means to explore our past. Civil registration records such as birth, death, and marriage registers contain a vast amount of implicit information which can be revealed by structuring, linking and combining that information with other datasets and bodies of knowledge. In the Irish Record Linkage (IRL) Project 1864-1913, we have developed a data preservation and interpretation pipeline supported by a dedicated semantic architecture. This three-layered pipeline is designed to capture separate concerns from the perspective of multiple disciplines such as archival studies, history and data science. In this study, our aim is to demonstrate best practices in digital archives, while facilitating innovative new methodologies in historical research. The designed pipeline is executed with a dataset of 4090 registered Irish death entries from selected areas of south Dublin City.
AB - Semantic Web technologies give us the opportunity to understand today’s data-rich society and provide novel means to explore our past. Civil registration records such as birth, death, and marriage registers contain a vast amount of implicit information which can be revealed by structuring, linking and combining that information with other datasets and bodies of knowledge. In the Irish Record Linkage (IRL) Project 1864-1913, we have developed a data preservation and interpretation pipeline supported by a dedicated semantic architecture. This three-layered pipeline is designed to capture separate concerns from the perspective of multiple disciplines such as archival studies, history and data science. In this study, our aim is to demonstrate best practices in digital archives, while facilitating innovative new methodologies in historical research. The designed pipeline is executed with a dataset of 4090 registered Irish death entries from selected areas of south Dublin City.
KW - Civil Registration Records
KW - Digital Archives
KW - Knowledge Transformation Pipelines
KW - Linked Data
UR - http://www.scopus.com/inward/record.url?scp=84950989079&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-26138-6_50
DO - 10.1007/978-3-319-26138-6_50
M3 - Conference contribution
AN - SCOPUS:84950989079
SN - 9783319261379
SN - 9783319261379
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 466
EP - 475
BT - On the Move to Meaningful Internet Systems
A2 - Bollen, Peter
A2 - Debruyne, Christophe
A2 - Ciuciu, Ioana
A2 - Fensel, Anna
A2 - Ferri, Fernando
A2 - Panetto, Herve
A2 - Aubry, Alexis
A2 - Debruyne, Christophe
A2 - Ciuciu, Ioana
A2 - Mishra, Alok
A2 - Fensel, Anna
A2 - Panetto, Herve
A2 - Aubry, Alexis
A2 - Bollen, Peter
A2 - Valencia-Garcia, Rafael
A2 - Valencia-Garcia, Rafael
A2 - Mishra, Alok
A2 - Ferri, Fernando
PB - Springer Verlag
T2 - International Workshops on the Move to Meaningful Internet Systems, OTM 2015
Y2 - 26 October 2015 through 30 October 2015
ER -