Cultural heritage institutions are continuously rethinking the access to their collections to allow the public as well as scholars and professionals to interpret and contribute to their collections. Their collections are challenged with advancement of the Web. They need to be presented in a sustainable way online, and to be instantly searchable and understandable for experts and lay audiences . Hermeneutics is humanities theory of interpretation. Currently it is amended to digital hermeneutics to form the appropriate context to think about providing access to and interpretation of online cultural heritage collections .
Important role in the interpretation of cultural heritage collections play ‘historic events’, which meaning keeps being re-discovered and re-interpreted in light of modern discussions. History changes over time and with the presence of the social Web it is under continuous evolvement. “It is not only ‘grand’ historical events that are subject to changes in interpretation. Single words, concepts, ideas and books can also have different meanings across time, space and social groups.”. Automatic text analysis techniques provide the means to mine large amounts of unstructured data and give scholars access to `big data’. To understand better this ‘big data’ we observe a shift towards deeper data mining focussed on the retrieval of meaningful units, e.g. answers, entities, events, discussions, and perspectives. Additionally, we also observe, a push towards the automatic creation of knowledge graphs that are populated with rich semantic units, e.g. entities, relations, activities, events provide possibilities of diving into more the details and address more complex questions. All this comes as a response to the need to understand better ‘events’ and their semantic structure and thus help, on the one hand, heritage institutions assigning meaning and value to online collection objects, and on the other hand, help humanities scholars in the exploration and contextualization of their tasks.
This workshop is motivated by the (1) increasing demand for facilitating deeper understanding of the semantics of online cultural heritage collections, and by the fact that (2) events emerged as a key element in the representation of data in areas such as history, cultural heritage, and multimedia. We envision that workshop presentations and discussions will bring insights on the understand the diversity of event representations, event relationships and their interactions with applications and data, i.e. how can events be represented in to support collection browsing, serendipitous exploration, narrative building; what are useful tools for event annotation by experts and lay crowds; what are efficient ways of crowdsourcing event annotations; what are successful methods for event visualisation & interaction.
Aims of the workshop
The workshop is aimed to be multi-disciplinary. It is intended for researchers, practitioners, and students of ICT, Digital Humanities and Cultural Heritage domains. The expected number of participants is 20-25.
We aim to gather researchers and practitioners to share their experiences, results and challenges related to understanding semantics and utilizing the notion of events as context for online cultural heritage objects, as well as to explore various practical use cases of applications of semantics technologies for addressing these challenges.
We aim to bring together computer scientists, computational linguists and humanities and social sciences scholars in order to build upon and expand the results in existing research communities, e.g. NLP, Information Retrieval, Semantic Web, Social Web Analytics, Multimedia analysis, and provide structure and deeper understanding in history, media, journalism and cultural heritage research, with a specific focus on how events are used as a key concept for representing knowledge and organising media in online web collections. The ultimate goal is to distill a research and application roadmaps for event semantics in Cultural Heritage, e.g. achieving a social consensus on processes, identify practical standards and protocols, defining the infrastructure needed.