Title : What would you query to all the music in the world?

Presenter Albert Meroño Peñuela
Abstract In this talk, I will present ideas around semantics and music for a VENI grant proposal that I am preparing to submit next January to the NWO. Heavily inspired in a previous WAI talk, in which I showed an early prototype to represent MIDI files as RDF graphs, I will present the MIDI Linked Data cloud, a dataset of more than 300K interconnected songs and more than 10B triples. As the largest library available on the Web on symbolic music notation represented as Linked Data, I will discuss further research that this dataset could enable by formalizing musical knowledge in ontologies, linking multimodal musical entities across the Web, and its applications in musicology.

Title : Making chatbots behave

Presenter Floris den Hengst
Abstract This talk will be about my PhD project proposal: how to represent and reason about normative (e.g. legal, regulatory and guideline) documents and incorporate this reasoning into Reinforcement Learning approaches for personalization. Significant efforts have been put onto formalization of normative documents and reasoning therewith. Existing work mostly focuses on offline (design-time or after-the-fact) compliance checking, however, whereas we want to integrate reasoning with learning. Conversely, a trend of increasingly invasive autonomous agents has resulted in societal and academic concerns on safety of such agents. ML researchers have responded with a variety of novel approaches, yet coming up with sensible constraints is often left to the user. I will briefly introduce the personalization case (a collaboration with ING), present a high-level overview of the proposed approach and and elaborate on its academic challenges.