Program
Keynote: More than one side to every story
Victor de Boer
There is more than one side to every story. This common saying is not only true for works of fiction. In the global data space that is the Semantic Web, views and perspectives from different people, organizations and cultures should be available. In this talk, I will talk about steps towards such a polyvocal Semantic Web. I will talk about ways to identify various voices, to model different perspectives and to make these perspectives available to end users. I will give examples from the cultural heritage domain, both in how semantic technologies can be of use to make available various perspectives on people, objects and events there but also how insights from the domain can help to shape the polyvocal Semantic Web.
About the speaker: Victor de Boer is an Associate Professor at the User-Centric Data Science group of the Vrije Universiteit Amsterdam (VU). He is co-director of the Cultural AI Lab. In his research, he combine (Semantic) Web technologies with Human-Computer Interaction, Knowledge Representation and Information Extraction to tackle research challenges in various domains. These include Cultural Heritage, Digital Humanities and ICT for Development.
Workshop Schedule
| 9:00 | Workshop welcome and introduction |
| 9:15 | Keynote: Victor de Boer - More than one side to every story |
| 10:00 | Paper presentations He Tan and Florian Westphal A Semantic Representation of Pedestrian Crossing Behavior (long paper) |
| 10:30 | Coffee break |
| 11:15 | Paper presentations Guillem Anais, John Samuel, Gilles Gesquière, Livio De Luca and Violette Abergel. Let the fallen voussoirs of Notre-Dame de Paris speak: Scientific Narration and 3D Visualization of Virtual Reconstruction Hypotheses and Reasoning (long paper) Franziska Pannach, Xiaoyan Yang, Noa Visser Solissa, Ze Yu, Andreas van Cranenburgh, Michiel van der Ree and Federico Pianzola. The GOLEM Triple Store: A Graph-based Representation of Narrative and Fiction (short paper) Cosimo Palma. Modelling Interestingness: a Roadmap to Surprisal-based Knowledge Mining for Narrativizing Semantic Networks (short paper) Myrto Koukouli, Akrivi Katifori, Katerina Servi, Labrini Papastratou and Yannis Ioannidis. Creating and applying a data model for an Augmented Documentation of Cultural Heritage (long paper) |
| 12:20 | Best paper award and wrap up |