A Digital Oral History Lab Project

MeDoraH

Advancing digital humanities research methodology through semantic web technologies and computational oral history analysis.

Overview

About MeDoraH

Building upon Hidden Histories' foundational work, MeDoraH represents an innovative advancement in digital humanities research methodology. This collaborative venture between University College London and TU Darmstadt introduces cutting-edge semantic web technologies and digital methods to oral history research.

 

MeDoraH enriches the existing Hidden Histories interview corpus by incorporating ten new German-language interviews, broadening our understanding beyond the Anglophone world.

Methodological Innovation

The project pioneers a novel methodological framework combining traditional oral history approaches with advanced computational techniques, enabled by a comprehensive knowledge graph and specialized ontologies. Through innovative natural language processing across English and German sources, MeDoraH creates structured representations of oral history interviews adhering to FAIR data principles.

Infrastructure

Technical Impact

This technical infrastructure supports sophisticated analyses while preserving the nuanced nature of oral history research. Our interactive portal enables researchers, digital humanists, and oral historians to explore this enhanced interview corpus, facilitating novel investigations into the formation and evolution of digital humanities as a field.

 

Project outputs include semantically enriched interview transcriptions, a pioneering oral history ontology, and new methodological frameworks for digital oral history research.

Explore

Project Resources

Explore MeDoraH's comprehensive resources and methodological contributions to digital oral history research.

Metadata Structure

Discover the comprehensive metadata framework underpinning MeDoraH's approach to oral history data.

 
TYPE Metadata Framework
FORMAT OWL / RDF
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FAIR Data Principles

Access structured representations of oral history interviews strictly following FAIR data principles.

 
TYPE Data Resources
ACCESS Open Access
Access data

Publications & Outputs

Browse publications, research outputs, and scholarly contributions from the project team.

 
TYPE Research Output
SOURCE Lab Repository
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Open Source

Technical Toolkits

Access our NLP and Ontology definitions on GitHub for reproduction and extension.

MeDoraH NLP

GitHub

A comprehensive suite of text mining and knowledge graph construction tools for processing historical narratives.

 
NLP Toolkit Hermeneutic Analysis Clustering
View on GitHub

MeDoraH Ontology

GitHub

Ontology and schema definitions providing the formal knowledge representation layer underpinning the platform infrastructure.

 
Ontology OWL / RDF FAIR Data
View on GitHub