j 2021

Model the source first! Towards source modelling and source criticism 2.0

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

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

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

DOI

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