Introduction to LOD: Publishing and Querying Linked Open Data

Publishing and Querying Linked Open Data – Showcase MiMoText and Wikidata [Slides] Linked Open Data (LOD) is a set of procedures and rules for publishing openly available data, and enabling their connection with other data from different sources and formats. These rules can also be applied to the structuring of available information in digital editions and corpora so that this information can be linked together and made easily searchable. The workshop "Introduction to LOD: From Digital Scholarly Editions and Text Collections to the Web of Data" offers an introduction to the concepts and standards of LOD, combined with the application of this technology to digital editions and literary corpora. The workshop is organized by the Junior Professorship for Digital Humanities and the research focus "Digital Hermeneutics" of the Department "Knowledge - Culture - Transformation" at the University of Rostock. In the first part of the workshop on September 20th, Christopher Pollin from the University of Graz will present basic concepts of Linked Open Data. Their relevance and application for digital editions will be discussed and put into practice, using historical account books as an example. On September 21st, Julia Röttgermann, Johanna Konstanciak and Tinghui Duan from the University of Trier will give a practical introduction to LOD using data from Wikidata and from the project "Mining and Modeling Text" (MiMoText). The relationships between personal data (authors), location data (places of action and publication of the works, and partly historical place names), time data (date of first publication) and topics will be explored and introduced using the SPARQL query language. 21.09.2023, 9:00-16:00 Publishing and Querying Linked Open Data – Showcase MiMoText and Wikidata Trainers: Julia Röttgermann (University of Trier), Johanna Konstanciak (University of Trier), Tinghui Duan (University of Trier) - Introduction to the project “Mining and Modeling Text” (MiMoText) - Introduction to Wikibase as infrastructure - Querying MiMoTextBase - Querying Wikidata - Federated Queries Further information on MiMoTextBase can be found here: https://mimotext.github.io/MiMoTextBase_Tutorial