2023
From Notarial Documents to Knowledge Graphs : Introducing Computer-Assisted Semantic Text Modelling (CASTEMO) and the InkVisitor application
ZBÍRAL, David; Robert Laurence John SHAW; Tomáš HAMPEJS and Adam MERTELBasic information
Original name
From Notarial Documents to Knowledge Graphs : Introducing Computer-Assisted Semantic Text Modelling (CASTEMO) and the InkVisitor application
Name (in English)
From Notarial Documents to Knowledge Graphs : Introducing Computer-Assisted Semantic Text Modelling (CASTEMO) and the InkVisitor application
Authors
Edition
Administration in Times of Crisis: The Roman Papacy in the Great Western Schism, Rome, 23–24 October 2023, 2023
Other information
Type of outcome
Presentations at conferences
Confidentiality degree
is not subject to a state or trade secret
Keywords (in Czech)
sémantické modelování textu; digital humanities; inkvizice; náboženský disent
Keywords in English
semantic text modelling; digital humanities; inquisition; religious dissidence
Tags
International impact, Reviewed
Changed: 15/12/2023 10:26, Mgr. Jolana Navrátilová
In the original language
The authors introduce Computer-Assisted Semantic Text Modelling (CASTEMO), an advanced method for transforming textual resources into structured data known as CASTEMO knowledge graphs, stored in JSON-based document databases. Accompanying this, they present the open-source InkVisitor research environment, designed to facilitate CASTEMO's data collection workflow. Both the workflow and environment originated from the ERC-funded Dissident Networks Project (DISSINET) and are now accessible for use by other researchers and projects.
In English
The authors introduce Computer-Assisted Semantic Text Modelling (CASTEMO), an advanced method for transforming textual resources into structured data known as CASTEMO knowledge graphs, stored in JSON-based document databases. Accompanying this, they present the open-source InkVisitor research environment, designed to facilitate CASTEMO's data collection workflow. Both the workflow and environment originated from the ERC-funded Dissident Networks Project (DISSINET) and are now accessible for use by other researchers and projects.
Links
101000442, interní kód MU |
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