SEMMES keynote: more than one side to the story

I was honored to be asked to give the keynote address for the 2nd edition of the Workshop on Semantic Methods for Events and Stories (SEMMES), at ESWC2024. I talked about work on polyvocality in cultural heritage knowledge graphs:

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. I identify three challenges 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.

You can find my slides below

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A Polyvocal and Contextualised Semantic Web

[This post is the text of a 1-minute pitch at the IWDS symposium for our poster “A Polyvocal and Contextualised Semantic Web” which was published as the paper”Erp, Marieke van, and Victor de Boer. “A Polyvocal and Contextualised Semantic Web.” European Semantic Web Conference. Springer, Cham, 2021.”]

Knowledge graphs are a popular way of representing and sharing data, information and knowledge in many domains on the Semantic Web. These knowledge graphs however often represent singular -biased- views on the word, this can lead to unwanted bias in AI using this data. We therefore identify a need a more polyvocal Semantic Web.

So. How do we get there?

  1. We need perspective-aware methods for identifying existing polyvocality in datasets and for acquiring it from text or users.
  2. We need datamodels and patterns to represent polyvocal data information and knowledge.
  3. We need visualisations and tools to make the polyvocal knowledge accessible and usable for a wide variety of users, including domain experts or laypersons with varying backgrounds.

In the Cultural AI Lab, we investigate these challenges in several interrelated research projects, but we cannot do it, and should not do it alone and are looking for more voices to join us!

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