Historical Texts into Structured Knowledge Graphs : Introducing Computer-Assisted Semantic Text Modelling in InkVisitor
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| Year of publication | 2023 |
| Type | Appeared in Conference without Proceedings |
| Citation | |
| Description | The paper outlines the methods employed in the DISSINET project for generating structured knowledge graphs from historical data, shedding light on the challenges faced by historians and researchers. The authors introduce Computer-Assisted Semantic Text Modelling (a human-controlled, computer-assisted, statement-based approach to data collection from texts) that seamlessly integrates close reading with computational modeling and transforms texts into rich syntactic-semantic data. The web-based open-source InkVisitor application, which enables creating and linking entities, supports furhter comprehensive analysis. Using the Bologna and Niort trials as illustrative examples, the authors showcase how this approach unveils and elucidates social, spatial, and discursive patterns within medieval dissidence, inquisition trials, and related records. Additionally, the paper delves into the future prospects of machine-produced CASTEMO, leveraging manually collected data as training data for enhanced outcomes. |
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