Amelie Dorn – ACDH-CH, Austrian Academy of Sciences, Austria Yalemisew Abgaz – Adapt Centre, Dublin City University, Ireland Gerda Koch –AIT Forschungsgesellschaft mbH, Europeana Local-AT, Austria José Luis Preza Díaz – ACDH-CH, Austrian Academy of Sciences, Austria Harvesting Knowledge from Cultural Images with As- sorted Technologies The Example of the ChIA Project Abstract: In recent years, cross-disciplinary collaboration for increased knowledge extraction from diverse data sources has been at the heart of interdisciplinary research and related fields, such as Digital Humanities. In particular, knowledge extraction and preservation from cultural heritage data has received increased attention. In this paper, we introduce the ChIA project, a cross-disciplinary Digital Humanities project that aims to perform knowledge design, knowledge extraction and organisation by applying semantic as well as Artificial Intelli- gence (AI) tools on a set of Europeana cultural food images. The collaborative endeavour aims to increase cultural knowledge access and analysis possibilities of images for different user groups and stakeholders, such as content providers or for educational purposes. 1.0 Introduction Since the recent European Year of Cultural Heritage by the European Commission 1 , the role of science and technology for the benefit of cultural heritage has played a major role in both physical and digital realms. Not only preserving, but also capturing, organ- ising and making accessible cultural knowledge to different user groups has been a widely addressed topic across disciplines in recent years (cf. Hardman et al. 2009; Behli, Bouras, and Foufou 2018). The ChIA project 2 is a current endeavour between the Aus- trian Centre for Digital Humanities and Cultural Heritage (ACDH-CH OeAW, AT) 3 , the Adapt Centre, Dublin City University (IE) 4 and the cultural content aggregator Euro- peana Local - Österreich 5 . The project, which is at an early stage after inception, focuses on integrating semantic technologies and image analysis to enhance the accessibility of cultural images. Through digitisation, cultural images are being transformed from tan- gible to digital intangible resources and become accessible via different platforms. This significantly increases their availability to the wider public. The transformation, how- ever, mainly focuses on the conversion of the images into their digital representations with generic metadata (e.g. title, creator, caption), overlooking much of the content of the images themselves. Search and retrieval, thus become restricted only to the generic and associated metadata, failing to explain the relevance of the search results. Often, digital cultural images lack a systematic machine-readable description of the cultural 1 https://ec.europa.eu/culture/news/commission-takes-stock-successful-european-year-cultural-heritage- 2018_en [last access: 01.02.2020] 2 https://chia.acdh.oeaw.ac.at/ [last access: 01.02.2020] 3 https://www.oeaw.ac.at/acdh/ [last access: 20.09.2019] 4 https://www.adaptcentre.ie/ [last access: 20.09.2019] 5 Europeana Local - Österreich. Verbundportal für lokale und regionale Kultur- und Wissenschafts- daten. website: http://www.europeana-local.at/ [last accessed: 27.09.2019] https://doi.org/10.5771/9783956507762-470 Generiert durch IP '207.241.231.83', am 12.12.2020, 17:27:26. Das Erstellen und Weitergeben von Kopien dieses PDFs ist nicht zulässig.