Pelagios is a formal network of equal and independent Partners who coordinate their work together. To become a Partner, all institutions, projects and/or individuals have to do is to agree to contribute to ongoing work that falls under the aegis of one or more of the Network's Activities. Partnerships are defined by a Memorandum of Understanding, a non-legally binding document in which the prospective Partner outlines their contribution in consultation with the Network.
To discuss becoming a Partner of the Pelagios Network, simply get in touch with the coordinators of the relevant Activity via our Contact page.
Using data from the Vision of Britain project to generate Pelagios Gazetteer Interconnection Format-compatible RDF.
Revealing the recurrent issues involved in archaeological and historical event modelling as linked data.
In partnership with Harokopio University and the Institute of Historical Research of the National Hellenic Research Foundation.
Exposing 18th-20th century geo-historical knowledge of the Horn of Africa into the web of Data.
Working to define an interoperable system for visualization and annotation of texts and images.
Working to extend the Humanities Visualizer to read and display files from Recogito.
Connecting specialists to develop Linked Data methodologies for the study of Gandhāran art and Buddhism.
Based at the University of Exeter, Pelagios 7 supports the establishment of the Pelagios Network, until the end of 2019.
Based at the Centro Argentino de Información Científica y Tecnológica in Buenos Aires, this partnership extends Pelagios methods to explore relationships between 16th and 19th century Spain and Latin America through historical, literary, and cartographic sources.
Annotating a corpus of colonial maps generated in the eighteenth, nineteenth and twentieth century.
Improving TEI support in Recogito, with a specific focus on integration issues.
The TimeCapsule project is focused on creating a platform that supports interpretative approaches to temporality and chronology in humanistic research and is led by Johanna Drucker at UCLA.
Enhancing the ability to visualise LOD on web maps with a time slider and timeline visualisations.