Detailed Information on Publication Record
2021
Model the source first! Towards source modelling and source criticism 2.0
ZBÍRAL, David, Robert Laurence John SHAW, Tomáš HAMPEJS and Adam MERTELBasic information
Original name
Model the source first! Towards source modelling and source criticism 2.0
Authors
ZBÍRAL, David (203 Czech Republic, guarantor, belonging to the institution), Robert Laurence John SHAW (826 United Kingdom of Great Britain and Northern Ireland, belonging to the institution), Tomáš HAMPEJS (203 Czech Republic, belonging to the institution) and Adam MERTEL (703 Slovakia, belonging to the institution)
Edition
Zenodo, 2021
Other information
Language
English
Type of outcome
Článek v odborném periodiku (nerecenzovaný)
Field of Study
60304 Religious studies
Country of publisher
Belgium
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14210/21:00119146
Organization unit
Faculty of Arts
Keywords in English
data collection; data model; Linked Data; semantic triple; history; inquisition; heresy
Tags
Tags
International impact
Změněno: 13/4/2022 17:43, Mgr. Ivona Vrzalová
Abstract
V originále
This article presents a proposal for data collection from textual resources in history and the social sciences. The data model and data collection practice we propose is based on detailed, yet flexible semantic encoding of the original natural-language syntactic structure and wording, literally translating texts line by line into structured data while preserving all of their vagaries, complexities, conflicting testimonies and the like. Our use case is the study of medieval Christian dissent and inquisition. We propose a thorough way of modelling the sources in order to make them accessible to any thinkable kind of quantitative and computational analysis. We frame our approach as "serial and scalable reading". Representing a new variety of "serial history", it allows us to understand and model texts as never before, and helps bridge the gap between quantitative and qualitative research in non-trivial ways.
Links
| GX19-26975X, research and development project |
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