k 2022

Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application

ZBÍRAL, David; Adam MERTEL and Robert Laurence John SHAW

Basic information

Original name

Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application

Authors

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

Edition

Computing the Past : Computational Approaches to the Dynamics of Cultures and Societies, 6-8 October 2022, Plzeň, Czech Republic, 2022

Other information

Language

English

Type of outcome

Presentations at conferences

Field of Study

60304 Religious studies

Country of publisher

Czech Republic

Confidentiality degree

is not subject to a state or trade secret

References:

RIV identification code

RIV/00216224:14210/22:00126923

Organization unit

Faculty of Arts

Keywords (in Czech)

sémantické modelování textu; digital humanities

Keywords in English

semantic text modelling; digital humanities

Tags

Tags

International impact, Reviewed
Changed: 22/3/2023 13:54, Mgr. Ivona Vrzalová

Abstract

In the original language

In this paper, we present Computer-Assisted Semantic Text Modelling (CASTEMO), a novel approach to transformation of textual resources into deeply structured data stored in JSON-based document databases. We also present the InkVisitor application which assists this data collection workflow and helps validate the data. Both the workflow and the application were developed within the Dissident Networks Project (DISSINET, https://dissinet.cz).

Links

101000442, interní kód MU
Name: Networks of Dissent: Computational Modelling of Dissident and Inquisitorial Cultures in Medieval Europe (Acronym: DISSINET)
Investor: European Union, ERC (Excellent Science)