A hub for collaboration in the field of linked data and graph technologies.

LOD.ACADEMY aims to bring together methodological approaches, research data, software tools, (web)services, best practice examples and learning material for linked data and graph technologies within the scope of the foundational research in the humanities and social sciences carried out by the academies of sciences throughout Europe. The goal is to develop a collaborative digital plattform on which academies, research projects and researchers can exchange knowledge and join forces.

The platform is jointly developed by the Academy of Sciences and Literature | Mainz and the Heidelberg Academy of Sciences and Humanities. Both institutions have a long standing research interest in linked data and graph technologies. On behalf of the Union of the German Academies of Sciences the Digital Academy also develops AGATE, a European science academies gateway for the humanities and social sciences that is closely linked to LOD.ACADEMY.


A brief overview of tools, services, technologies, information and learning material.
Read more on how you can take part with your tool, your data or your project.


A generic webservice to extract RDF statements from any XML resource. Read more


A tool for generating and storing property graphs out of XML resources. Read more


A web based standoff property editor and annotation tool. Read more.


The Graph Content Editor (currently in development). Easy creation and maintenance of data in graph databases. Read more

RDF Vocabulary & Data Hub

We plan that research projects from academies can host RDF vocabularies and RDF data on the LOD.ACADEMY hub.

Linguistic Linked Open Data (LLOD)

LLOD focuses on data of dictionaries and linguistic resources and shares it accross disciplines. Read more

Conferences & Workshops

An overview and outlook on scientific conferences and workshops for linked data and graph technologies. Read more

Publications & Learning Material

A collection of digital publications and web based learning material on linked data and graph technologies. Read more

Research projects

An overview of research projects from Academies participating in LOD.ACADEMY. Read more