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@proceedings{2225438,
author = {Zbíral, David and Mertel, Adam and Shaw, Robert Laurence John},
booktitle = {Computing the Past : Computational Approaches to the Dynamics of Cultures and Societies, 6-8 October 2022, Plzeň, Czech Republic},
keywords = {semantic text modelling; digital humanities},
language = {eng},
title = {Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application},
url = {https://ccs.zcu.cz/ctp2022/},
year = {2022}
}
TY - CONF
ID - 2225438
AU - Zbíral, David - Mertel, Adam - Shaw, Robert Laurence John
PY - 2022
TI - Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application
KW - semantic text modelling
KW - digital humanities
UR - https://ccs.zcu.cz/ctp2022/
N2 - 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).
ER -
ZBÍRAL, David, Adam MERTEL a Robert Laurence John SHAW. Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application. In \textit{Computing the Past : Computational Approaches to the Dynamics of Cultures and Societies, 6-8 October 2022, Plzeň, Czech Republic}. 2022.
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