A Methodological Approach to Knowledge Representation in Historical Corpus Analysis
DOI:
https://doi.org/10.21814/h2d.6580Keywords:
Digital Humanities, Corpus Analysis, Ontologies, Optical Character Recognition, SPARQL, Historical NewspapersAbstract
This article presents a theoretical model for the semantic analysis of historical corpora using interoperable digital tools. By applying PaddleOCR for text extraction, an ontology based on the CIDOC CRM model, and manually defined SPARQL queries, a scalable approach is proposed for processing and exploring digitized journalistic sources. The case study focuses on media coverage of the Apollo 11 mission in Portuguese newspapers from the 20th century, within the context of the Estado Novo regime. The methodology enabled the identification of discursive patterns, the structuring of semantic relationships between events, actors, and publications, and demonstrated the potential of ontological modelling for critical discourse analysis. Although still in an exploratory phase, the model shows promise for future applications in the field of Digital Humanities.
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Copyright (c) 2025 Rafael Prezado, Renata Vieira
This work is licensed under a Creative Commons Attribution 4.0 International License.
