Research Seminars

Social music meets the Semantic Web

Alexandre Passant
LaLIC, Université Paris-Sorbonne, France

Wednesday 16 July 2008, 16:00, Room 105

Abstract

In this talk, we will describe various ways to enhance music-related Web 2.0 services and their content thanks to Semantic Web technologies. We will describe some features of Web 2.0 services that could be improved and will explain how the Semantic Web can help to provide advanced services to end-users .

Especially, we will see how the FOAF vocabulary can be used to model social networking on those websites and how SIOC and MOAT can be used to let people publish and tag their content (blog posts, wiki pages...) in a machine-readable way. We will also emphasise on the Linking Open Data project, that provides open, inter-linked and machine-understandable data from existing services as Wikipedia, and will see how it could be related to the previous points. Moreover, we will emphasis how this additional level of knowledge representation about music-related information on the Web can be used to provide new ways to suggest new content, music and events.

Bio

Alexandre Passant is a Ph.D. student at LaLIC, Université Paris-Sorbonne, France. He is currently also affiliated with EDF R&D. His research mainly focuses on relationships between the Semantic Web and Web 2.0.

He is involved in the SIOC project, a standard way to model social media websites meta-data on the Semantic Web, as a co-author of the specification and editor of related documents, accepted as a W3C submission in 2007. He is also co-founder of the MOAT project, which goal is to provide machine-readable representation of tags, tagging, and their related meaning, in order to solve some of the limits of free-tagging and let tagged content enters the Semantic Web. Finally, he's also interested in related aspects of this convergence as lightweight ontologies (like FOAF), interlinking corporate Web 2.0 data thanks to Semantic Web technologies, ontology population using Semantic Wikis, and semantic search engines based on the previous principles.