Seevl - Reinventing Music Discovery
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  Alexandre Passant   Alexandre Passant
Researcher
DERI / seevl
 


 

Monday, June 6, 2011
04:45 PM - 05:45 PM
Level:  Technical - Intermediate


Music recommendation systems are often opaque, and do not give any clue to users why they recommend X if they like Y. Seevl tackles this problem by offering an explanatory recommendation system, based on the power of Linked Data and Semantic Web technologies. In this presentation, we will present Seevl's architecture and the possibilities it offers for the music industry and website owners that want to augment their website using such recommendations. In particular, we will discuss:
  • What data sources are currently available on the Web for describing musical knowledge
  • The Music Ontology
  • How we aggregate, interlink and curate the sources using MO
  • Semantic recommendations
  • The Seevl API


Dr. Alexandre Passant is a researcher at the Digital Enterprise Research Institute, National University of Ireland, Galway, where he leads the Social Software Unit. His research interests include mainly the Semantic Web, Linked Data and Social Software: in particular, how these fields can interact with and benefit from each other in order to provide a socially-enabled and machine-readable Web. He has a Ph.D. in Semantic Web technologies, is the (co-)author of several Social Semantic Web vocabularies (SIOC, MOAT, CommonTag), is an active W3C member (Social Web XG, SPARQL WG), has published more than 60 papers on the topic, given tutorials at conferences such as ISWC, WWW and SemTech and is involved in various related applications and industrial research partnerships.


   
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