An ontology for modelling the social, spatial, and semantic
relations in pre-modern written sources

k 2021

An ontology for modelling the social, spatial, and semantic relations in pre-modern written sources

ZBÍRAL, David; Adam MERTEL; Robert Laurence John SHAW and Tomáš HAMPEJS

Basic information

Original name

An ontology for modelling the social, spatial, and semantic relations in pre-modern written sources

Authors

ZBÍRAL, David (203 Czech Republic, guarantor, belonging to the institution); Adam MERTEL (703 Slovakia, belonging to the institution); Robert Laurence John SHAW (826 United Kingdom of Great Britain and Northern Ireland, belonging to the institution) and Tomáš HAMPEJS (203 Czech Republic, belonging to the institution)

Edition

Data4History, 19. May - 30. June 2021, Berlin (virtual conference), 2021

Other information

Language

English

Type of outcome

Presentations at conferences

Field of Study

60304 Religious studies

Country of publisher

Germany

Confidentiality degree

is not subject to a state or trade secret

References:

URL, URL

RIV identification code

RIV/00216224:14210/21:00119055

Organization unit

Faculty of Arts

Keywords in English

ontology; historical data; semantics

Abstract

In the original language

The extent of data collection in computational history is often delimited by the specifichypotheses that drive the research in question. Such a parsimonious approach is completelylogical and in many cases sufficient; moreover, there is no such thing as “total” datacollection, because the data is to a degree in the eye of the beholder. At the same time,however, historical research has a tried and tested tradition of more source-driven research,where the close reading of sources often drives the direction of study more than the testingof hypotheses. In this paper, we present our experience of developing a thorough data modeland user interface for the collection of structured data from medieval inquisitorial registers,focusing mainly on the social, spatial, and semantic relations between historical actors,groups, places, physical objects, concepts, and events. We undertook this as part of aproject that seeks to provide a networked perspective on religious dissent and its repressionin medieval Europe (Dissident Networks Project / DISSINET, https://dissinet.cz). In thispaper, we would like to discuss our data model and data collection practices as well as toopen the data model to suggestions on how it can be mapped upon existing standards inorder to enhance its interoperability.

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

Cite

ZBÍRAL, David; Adam MERTEL; Robert Laurence John SHAW and Tomáš HAMPEJS. An ontology for modelling the social, spatial, and semantic relations in pre-modern written sources. In Data4History, 19. May - 30. June 2021, Berlin (virtual conference). 2021.

@proceedings{1781845,
   author = {Zbíral, David and Mertel, Adam and Shaw, Robert Laurence John and Hampejs, Tomáš},
   booktitle = {Data4History, 19. May - 30. June 2021, Berlin (virtual conference)},
   keywords = {ontology; historical data; semantics},
   language = {eng},
   title = {An ontology for modelling the social, spatial, and semantic relations in pre-modern written sources},
   url = {https://d4h2020.sciencesconf.org/},
   year = {2021}
}

TY  - CONF
ID  - 1781845
AU  - Zbíral, David - Mertel, Adam - Shaw, Robert Laurence John - Hampejs, Tomáš
PY  - 2021
TI  - An ontology for modelling the social, spatial, and semantic relations in pre-modern written sources
KW  - ontology
KW  - historical data
KW  - semantics
UR  - https://d4h2020.sciencesconf.org/
N2  - The extent of data collection in computational history is often delimited by the specifichypotheses that drive the research in question. Such a parsimonious approach is completelylogical and in many cases sufficient; moreover, there is no such thing as “total” datacollection, because the data is to a degree in the eye of the beholder. At the same time,however, historical research has a tried and tested tradition of more source-driven research,where the close reading of sources often drives the direction of study more than the testingof hypotheses. In this paper, we present our experience of developing a thorough data modeland user interface for the collection of structured data from medieval inquisitorial registers,focusing mainly on the social, spatial, and semantic relations between historical actors,groups, places, physical objects, concepts, and events. We undertook this as part of aproject that seeks to provide a networked perspective on religious dissent and its repressionin medieval Europe (Dissident Networks Project / DISSINET, https://dissinet.cz). In thispaper, we would like to discuss our data model and data collection practices as well as toopen the data model to suggestions on how it can be mapped upon existing standards inorder to enhance its interoperability.
ER  -

ZBÍRAL, David; Adam MERTEL; Robert Laurence John SHAW and Tomáš HAMPEJS. An ontology for modelling the social, spatial, and semantic relations in pre-modern written sources. In \textit{Data4History, 19. May - 30. June 2021, Berlin (virtual conference)}. 2021.

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