Call for paper: Artificial Intelligence and Digital Heritage (ARTIDIGH 2020)

Valletta (Malta), 22-24 February 2019

Within the 12th International Conference on Agents and Artificial Intelligence – ICAART 2020, the Special Session on Artificial Intelligence and Digital Heritage: Challenges and Opportunities is being organised by Andreas Weber of the University of Twente; Marieke van Erp of the Digital Humanities Lab KNAW Humanities Cluster; Maarten Heerlien of the Rijksmuseum. The call for paper for this special session is open until the 15th of November – all information here


Call for paper:

With the help of artificial intelligence-powered services and tools the heritage sector is working towards the next level of access to and (re)use of digitized collections. In recent years libraries, archives and museums have started to apply machine learning and advanced knowledge bases to contextually enrich digitized objects, audio-visual content and texts and to make these retrievable in novel ways. In doing so institutions aim to increase the impact of their collections among a growing and diversifying audience. This special session welcomes papers that reflect upon, discuss and present the technical and societal challenges (e.g. labour to produce labeled datasets, heterogeneity of data, bias in training sets) digital heritage professionals and researchers are facing when trying to capitalise on the transformative power of artificial intelligence in the context of digital archive, image, and audio/visual collections. Next to position papers, we are also looking for papers in which project consortia discuss their approach and present first results.
Topics include, but are not limited to:

– Bias and digital collections

– Dealing with uncertainty, quality issues and collection gaps

– Multimodal collection access

– Geographic/spatial enrichment and access

– New ways of accessing collections such as associative and serendipitous search

– Network Analysis

– Natural Language Processing for the Heritage Domain

– Trend and change analysis

– Automatic collection provenance enrichment

– Reflections on the influence of AI on the heritage domain

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