ZBÍRAL, David, Robert Laurence John SHAW, Tomáš HAMPEJS and Adam MERTEL. Model the source first! Towards source modelling and source criticism 2.0. Zenodo. 2021, p. 1-13. Available from: https://dx.doi.org/10.5281/zenodo.5218926.
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Basic 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
Original language English
Type of outcome Article in a journal (not reviewed)
Field of Study 60304 Religious studies
Country of publisher Belgium
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14210/21:00119146
Organization unit Faculty of Arts
Doi http://dx.doi.org/10.5281/zenodo.5218926
Keywords in English data collection; data model; Linked Data; semantic triple; history; inquisition; heresy
Tags rivok
Tags International impact
Changed by Changed by: Mgr. Ivona Vrzalová, učo 361753. Changed: 13/4/2022 17:43.
Abstract
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 projectName: Nekonformní náboženské kultury ve středověké Evropě z pohledu analýzy sociálních sítí a geografických informačních systémů (Acronym: DISSINET)
Investor: Czech Science Foundation
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