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 and David ZBÍRAL

Basic information

Original name

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

Authors

MERTEL, Adam (703 Slovakia, belonging to the institution) and David ZBÍRAL (203 Czech Republic, guarantor, belonging to the institution)

Edition

Göttingen, Proceedings of the International Cartographic Association, p. 1-7, 7 pp. 2019

Publisher

Copernicus Publications

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

60304 Religious studies

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

full text

RIV identification code

RIV/00216224:14210/19:00107781

Organization unit

Faculty of Arts

ISSN

DOI

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

Keywords in English

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

Abstract

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.

Links

GX19-26975X, research and development project

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

Investor: Czech Science Foundation

Citovat

MERTEL, Adam and 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, p. 1-7. ISSN 2570-2092. Available from: 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 and 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, p.~1-7. ISSN~2570-2092. Available from: https://dx.doi.org/10.5194/ica-proc-2-85-2019.

Detailed Information on Publication Record