Title : Collaborative Privacy Management in Online Social Networks

Presenter Pinar Yolum
Abstract Privacy is a major concern in online social networks. Online social networks allow users to specify privacy concerns to some extent, but enforcing them over distributed content is difficult. The main reason for this is that the users are allowed to create and share content about themselves as well as about others. When multiple entities start distributing content without a control, information can reach unintended individuals. Since privacy constraints of these users may be different from each other, privacy disputes occur. Ideally, all relevant users of a content must be able to engage in a discussion of their privacy constraints so that they can agree on whether to share the content and if so with whom. This talk will discuss our recent work on collaborative privacy management to resolve disputes among users in online social networks. This talk will discuss our recent work on collaborative privacy management to resolve disputes among users in online social networks, with a focus on argumentation. Our work is based on representing each user in an online social network with an agent that is responsible for managing and enforcing its user's privacy constraints. When an agent wants to share a post, an agreement session starts between the agent and other relevant agents. The agents provide each other arguments to express their privacy stance and try to convince each other that their claim is true. At the end of the session, the system decides whether sharing the post is justified according to the provided arguments of the agents.

Title : Classical Music and Knowledge Graphs: Managing, reusing and recommending one of the most complex music genres

Presenter Pasquale Lisena
Abstract Classical music opens to a different set of possibilities and challenges because of the complexity of the information and the huge material coming from centuries of history. In the context of the DOREMUS project, a huge music knowledge-graph has been produced and published which gives access to the fine-grained metadata coming from the most important French cultural institution. We modelled and published a set of interlinked controlled vocabularies, containing hierarchies and relationships between terms. This allows to define new strategies for discovering music and defining similarities between authors, works, performances based on concatenation of entity embeddings at multiple levels. This talk aims to give an overview of the DOREMUS knowledge graph and on some experiments performed on top of it, such as a music chatbot and recommender systems for works, artists and entire concerts. More information at https://docs.google.com/document/d/1IAlLPFLzx78u8pgUZHSE37eqUWzdC-XjRkAy7gXyh-A/edit