Overview
[AI Summary]: LIFT (Linked Data from TEI) is a Python-based teaching tool that bridges the gap between TEI-encoded scholarly editions and Linked Open Data. Developed by DHarc at the University of Bologna for their Digital Humanities and Digital Knowledge degree program, it programmatically extracts information from TEI-annotated texts and models persons, places, events, and relations as RDF Knowledge Graphs using established DH ontologies and controlled vocabularies. The tool provides scripts based on lxml and RDFlib libraries, includes comprehensive documentation, and offers a step-by-step Jupyter Notebook tutorial to help users understand the transition from document-centric (TEI) to data-centric (RDF) approaches in digital scholarly editing.
- Developer: DHarc, University of Bologna
- License: Open source
- Platform: Python (GitHub)
- Technology: lxml, RDFlib, TEI, RDF
- Documentation: ReadTheDocs
- Code: GitHub
- Related Research: DHQ Article
Source: OpenMethods introduction (March 4, 2024)