10 th International Society for Music Information Retrieval Conference ( ISMIR 2009 ) AN ECOSYSTEM FOR TRANSPARENT MUSIC SIMILARITY IN AN OPEN WORLD
10 th International Society for Music Information Retrieval Conference ( ISMIR 2009 ) AN ECOSYSTEM FOR TRANSPARENT MUSIC SIMILARITY IN AN OPEN WORLD
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第 10 届国际音乐信息检索学会会议 (ISMIR 2009) 开放世界中透明音乐相似性的生态系统
DOI：
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发表时间：
2009
期刊：
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通讯作者：
Yves Raimond
中科院分区：
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作者：
Kurt Jacobson;Yves Raimond
有许多方法可以推导音乐相似性关联，未来可能会看到更多的变化。在这项工作中，我们引入了相似本体来描述项目之间的关联。使用RDF/OWL和N3的组合，我们的本体允许在分布式和开放的系统中实现透明性和来源跟踪。我们描述了一个相似生态系统，其中代理断言和聚合Web of Data上的相似语句，允许客户端应用程序对推荐、播放列表或其他任务进行查询。在这个生态系统中，任何数量的相似性派生方法都可以并排存在，指定相似性关系以及用于派生这些语句的过程。然后，数据使用者可以根据相似性派生过程的知识或可信断言代理列表，选择信任哪些相似性语句。
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.