histograph treats large multimedia collections as networks and provides tools for their exploration and annotation. The underlying assumption is simple: if two documents mention for example the same person, place or institution, we assume that they may have something to do with each other and store this relation in a graph database. The application consists of a graph visualization module, a recommender system for related objects, various search and filter functions, automated and crowd-based annotation and disambiguation of named entities and their enrichment with third-party identifiers such as DBpedia and VIAF. histograph remains in active development and we are open to explore new use cases.



University of Luxembourg

Project Team

Dr Lars Wieneke
Daniele Guido
Dr Marten Düring