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Université de Lausanne, 3-4 June 2019 | #graphSDE2019 Digital texts processed by machines are linear strings of characters, but in most research activities in the Humanities (philology, linguistics, corpus-based analysis, cultural heritage, etc.) we store them in databases and we add markup to the text, that is a kind of intelligence made computable thanks to the use of widespread data-models, formats and standards. Invited speakers: Tobias Schweizer, Sepideh Alassi (University of Basel – Digital Humanities Lab)
Digital texts processed by machines are linear strings of characters, but in most research activities in the Humanities (philology, linguistics, corpus-based analysis, cultural heritage, etc.) we store them in databases and we add markup to the text, that is a kind of intelligence made computable thanks to the use of widespread data-models, formats and standards.
In the last decades, the popularity of graph data-models has increased, in accordance with the semantic web proposition and the development of standards such as RDF and OWL. Graph databases, in the form of triple stores (such as Graph-DB) or of labeled-property-graphs (Neo4j), are regarded as powerful and flexible solutions by research and cultural institutions, and private companies alike.
The workshop is held to explore possible interactions between digital texts, the graph data-model, scholarly editions and the semantic web. The combinations of these objects/concepts, pursued in the last decades, remains experimental to date, and it represents one of the possible developments for the field of digital scholarly editing.
We are please to welcome the workshop invited speakers:
The workshop would not be possible without its scientific committee:
The organizers of the workshop are
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