SPARQL-Queries: Patterns in modeling and querying a knowledge graph for literary history

All SPARQL queries documented here refer to the SPARQL endpoint: https://query.mimotext.uni-trier.de. The queries are supplement to the following preprint: https://doi.org/10.5281/zenodo.12080340. Query 0, Fig 3: Authors (here: ‘Voltaire’) and works (here: ‘Le Micromégas’) in subject position shown as Graph Query 1: Count of novels, authors, thematic concepts and spatial concepts Query 2: Narrative locations of literary works Query 3: Novels set in ‘imaginary place’ Query 4: Novels that have theme ‘miracle’ Query 5: Novels published in Paris between 1780 and 1790 that have theme ‘philosophy’ Query 6: Query to retrieve some data about the MiMoTextBase such as Authors, Novels, publicationyears, tonality etc. Query 7, Fig. 5: Themes occuring in novels of intention satire Query 8: Ratio of the theme ‘nature’ over time Query 9: Thematic concepts of novels referenced by ‘Topic Modeling’ Query 10, Fig. 6: Thematic statements referenced by ‘topic modeling’ and the bibliography Query 11: Overview over controlled vocabularies Query 12: Combinations of narrative Form and intention per year Query 13: Topic labels in English, French and German using rdfs:label and Filter Query 14: Topic labels in English, French and German using Wikibase Label Service Query 15: Labels entered on wikidata-entry ‘Voltaire’ Query 16, Fig. 9: Narrative location with geo coordinate locations via federated query Query 17: Alternative Labels of author names via ‘federated’ queries’ Query 18, Fig. 10: Finding Identifiers on other Knowledge Graphs, for example Bibliothèque nationale de France ID Query 19, Fig. 11: Influence networks of authors via ‘federated query’