From November 1 2020, we are collaborating on connecting tangible and intangible heritage through knowledge graphs in the new Horizon2020 project “InTaVia“.
To facilitate access to rich repositories of tangible and intangible asset, new technologies are needed to enable their analysis, curation and communication for a variety of target groups without computational and technological expertise. In face of many large, heterogeneous, and unconnected heritage collections we aim to develop supporting technologies to better access and manage in/tangible CH data and topics, to better study and analyze them, to curate, enrich and interlink existing collections, and to better communicate and promote their inventories.
Our group will contribute to the shared research infrastructure and will be responsible for developing a generic solution for connecting linked heritage data to various visualization tools. We will work on various user-facing services and develop an application shell and front-end for this connection be responsible for evaluating the usability of the integrated InTaVia platform for specific users. This project will allow for novel user-centric research on topics of Digital Humanities, Human-Computer interaction and Linked Data service design.
In the past year, together with Ingrid Vermeulen (VU Amsterdam) and Chris Dijkshoorn (Rijksmuseum Amsterdam), I had the pleasure to supervise two students from VU, Babette Claassen and Jeroen Borst, who participated in a Network Institute Academy Assistant project around art provenance and digital methods. The growing number of datasets and digital services around art-historical information presents new opportunities for conducting provenance research at scale. The Linked Art Provenance project investigated to what extent it is possible to trace provenance of art works using online data sources.
In the interdisciplinary project, Babette (Art Market Studies) and Jeroen (Artificial Intelligence) collaborated to create a workflow model, shown below, to integrate provenance information from various online sources such as the Getty provenance index. This included an investigation of potential usage of automatic information extraction of structured data of these online sources.
This model was validated through a case study, where we investigate whether we can capture information from selected sources about an auction (1804), during which the paintings from the former collection of Pieter Cornelis van Leyden (1732-1788) were dispersed. An example work , the Lacemaker, is shown above. Interviews with various art historian validated the produced workflow model.
The workflow model also provides a basic guideline for provenance research and together with the Linked Open Data process can possibly answer relevant research questions for studies in the history of collecting and the art market.