Building knowledge graphs to access and understand historical scientific manuscripts
Abstract More than 40.000 handwritten texts from Ferdinand de Saussure were left unpublish, waiting for scientist to understand them. The chaotic aspect of these texts lead to a primary need for classification and dating issues. This case study presents a way to extract scientific content, historical and bibliographic context and terminology context from such manuscripts. A knowledge graph constituted by entity classes and relationships, has been used in order to propose an implementation on the Semantic Web. Keywords Digitization, Digital Humanities, Historical ontologies, Semantic Web Interface This presentation is based on documents [1, 2, 3, 4, 5] published by...
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