<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kurt Jacobson</style></author><author><style face="normal" font="default" size="100%">Yves Raimond</style></author><author><style face="normal" font="default" size="100%">Mark Sandler</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">George Tzanetakis</style></author><author><style face="normal" font="default" size="100%">Keiji Hirata</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">An Ecosystem for Transparent Music Similarity in an Open World</style></title><secondary-title><style face="normal" font="default" size="100%">10th Conference of the International Society of Music Information Retrieval</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2009</style></date></pub-dates></dates><abstract><style face="normal" font="default" size="100%">There exist many methods for deriving music similarity associations and 
additional variations are likely to be seen in the future.  In this work we introduce the Similarity Ontology for describing associations between items.  Using a combination of RDF/OWL and N3, our ontology allows for transparency and provenance tracking in a distributed and open system.  We describe a similarity ecosystem where agents assert
and aggregate similarity statements on the Web of Data allowing a client application to make queries for recommendation, playlisting, or other tasks.  In this ecosystem any number of similarity derivation methods can exist side-by-side, specifying similarity relationships as well as the processes used to derive these statements. The data consumer can then select which similarity statements to trust based on knowledge of the similarity derivation processes or a list of trusted assertion agents.</style></abstract></record></records></xml>