Mining multiple sources of historical data : The example of a
standardized dataset of medieval monasteries and convents in
France

D 2019

Mining multiple sources of historical data : The example of a standardized dataset of medieval monasteries and convents in France

MERTEL, Adam a David ZBÍRAL

Základní údaje

Originální název

Mining multiple sources of historical data : The example of a standardized dataset of medieval monasteries and convents in France

Autoři

MERTEL, Adam (703 Slovensko, domácí) a David ZBÍRAL (203 Česká republika, garant, domácí)

Vydání

Göttingen, Proceedings of the International Cartographic Association, od s. 1-7, 7 s. 2019

Nakladatel

Copernicus Publications

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

60304 Religious studies

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

full text

Kód RIV

RIV/00216224:14210/19:00107781

Organizační jednotka

Filozofická fakulta

ISSN

DOI

http://dx.doi.org/10.5194/ica-proc-2-85-2019

Klíčová slova anglicky

Christian monasteries and convents; religious orders; spatiotemporal dataset; data mining; data integration

Štítky

rivok

Změněno: 28. 4. 2020 21:28, Mgr. Zuzana Matulíková

Anotace

V originále

This paper presents a dataset of medieval monasteries and convents on the territory of today’s France and discuss the workflow of its integration. Spatial historical data are usually dispersed and stored in various forms – encyclopedias and catalogues, websites, online databases, and printed maps. In order to cope with this heterogeneity and proceed to computational analysis, we have devised a method that includes the creation of a data model, data mining from sources, data transformation, geocoding, editing, and conflicts solving. The resulting dataset is probably the most comprehensive collection of records on medieval monasteries within the borders of today’s France. It can be used for understanding the spatial patterns of medieval Christian monasticism and the implantation of the official Church infrastructure, as well as the relation between this official infrastructure and phenomena covered in other datasets.

Návaznosti

GX19-26975X, projekt VaV

Název: Nekonformní náboženské kultury ve středověké Evropě z pohledu analýzy sociálních sítí a geografických informačních systémů (Akronym: DISSINET)

Investor: Grantová agentura ČR, Nekonformní náboženské kultury ve středověké Evropě z pohledu analýzy sociálních sítí a geografických informačních systémů

Citovat

MERTEL, Adam a David ZBÍRAL. Mining multiple sources of historical data : The example of a standardized dataset of medieval monasteries and convents in France. Online. In Proceedings of the International Cartographic Association. Göttingen: Copernicus Publications, 2019, s. 1-7. ISSN 2570-2092. Dostupné z: https://dx.doi.org/10.5194/ica-proc-2-85-2019.

@inproceedings{1579277,
   author = {Mertel, Adam and Zbíral, David},
   address = {Göttingen},
   booktitle = {Proceedings of the International Cartographic Association},
   doi = {http://dx.doi.org/10.5194/ica-proc-2-85-2019},
   keywords = {Christian monasteries and convents; religious orders; spatiotemporal dataset; data mining; data integration},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Göttingen},
   pages = {1-7},
   publisher = {Copernicus Publications},
   title = {Mining multiple sources of historical data : The example of a standardized dataset of medieval monasteries and convents in France},
   url = {https://www.proc-int-cartogr-assoc.net/2/85/2019/},
   year = {2019}
}

TY  - JOUR
ID  - 1579277
AU  - Mertel, Adam - Zbíral, David
PY  - 2019
TI  - Mining multiple sources of historical data : The example of a standardized dataset of medieval monasteries and convents in France
PB  - Copernicus Publications
CY  - Göttingen
KW  - Christian monasteries and convents
KW  - religious orders
KW  - spatiotemporal dataset
KW  - data mining
KW  - data integration
UR  - https://www.proc-int-cartogr-assoc.net/2/85/2019/
L2  - https://www.proc-int-cartogr-assoc.net/2/85/2019/
N2  - This paper presents a dataset of medieval monasteries and convents on the territory of today’s France and discuss the workflow of its integration. Spatial historical data are usually dispersed and stored in various forms – encyclopedias and catalogues, websites, online databases, and printed maps. In order to cope with this heterogeneity and proceed to computational analysis, we have devised a method that includes the creation of a data model, data mining from sources, data transformation, geocoding, editing, and conflicts solving. The resulting dataset is probably the most comprehensive collection of records on medieval monasteries within the borders of today’s France. It can be used for understanding the spatial patterns of medieval Christian monasticism and the implantation of the official Church infrastructure, as well as the relation between this official infrastructure and phenomena covered in other datasets.
ER  -

MERTEL, Adam a David ZBÍRAL. Mining multiple sources of historical data : The example of a standardized dataset of medieval monasteries and convents in France. Online. In \textit{Proceedings of the International Cartographic Association}. Göttingen: Copernicus Publications, 2019, s.~1-7. ISSN~2570-2092. Dostupné z: https://dx.doi.org/10.5194/ica-proc-2-85-2019.

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