Semantics for Music Analysis through Linked Data: How Country is My Country?

We present a proof-of-concept system that demonstrates the utility of linked data for enhancing the application of Music Information Retrieval (MIR) workflows, both when curating collections of music signal data for analysis, and publishing results that can be simply and readily correlated to these, and other, collection sets and Linked Data sources. The system includes: linked data implementations of a signal repository, collection builder, and results explorer, an extension to the my Experiment workflow sharing environment to include Meandre workflows, and support within my Experiment and Meandre to retrieve and persist resources from the linked data repositories. By way of example we gather and publish RDF describing signal collections derived from the country of an artist. Genre analysis over these collections and integration of collection and result metadata enables us to ask: "how country is my country?".

[1]  Sam Ruby,et al.  RESTful Web Services , 2007 .

[2]  Michael Witt.  Object Reuse and Exchange (OAI-ORE) , 2010 .

[3]  Mark B. Sandler,et al.  The Sonic Visualiser: A Visualisation Platform for Semantic Descriptors from Musical Signals , 2006, ISMIR.

[4]  Domenico Talia,et al.  Distributing workflows over a ubiquitous P2P network , 2007, Sci. Program..

[5]  R. Fielding,et al.  Architectural Styles and the Design of Network-based Software Architectures (CHAPTER 5) , 2000 .

[6]  J. Stephen Downie,et al.  The music information retrieval evaluation exchange (2005-2007): A window into music information retrieval research , 2008, Acoustical Science and Technology.

[7]  Ichiro Fujinaga,et al.  Using ACE XML 2.0 to Store and Share Feature, Instance and Class Data for Musical Classification , 2009, ISMIR.

[8]  Carole A. Goble,et al.  myExperiment: a repository and social network for the sharing of bioinformatics workflows , 2010, Nucleic Acids Res..

[9]  Leo Sauermann,et al.  Cool URIs for the semantic web , 2007 .

[10]  Daniel P. W. Ellis,et al.  A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures , 2004, Computer Music Journal.

[11]  Ichiro Fujinaga,et al.  SALAMI: Structural Analysis of Large Amounts of Music Information , 2010 .

[12]  Xavier Llorà,et al.  Meandre: Semantic-Driven Data-Intensive Flows in the Clouds , 2008, 2008 IEEE Fourth International Conference on eScience.

[13]  Mark B. Sandler,et al.  An Ecosystem for Transparent Music Similarity in an Open World , 2009, ISMIR.

[14]  Ichiro Fujinaga,et al.  jMIR: Tools for Automatic Music Classification , 2009, ICMC.

[15]  Mert Bay,et al.  The Networked Environment for Music Analysis (NEMA) , 2010, 2010 6th World Congress on Services.

[16]  Ichiro Fujinaga,et al.  Overview of OMEN , 2006, ISMIR.

[17]  Jens Lehmann,et al.  DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[18]  Mark B. Sandler,et al.  A Web of Musical Information , 2008, ISMIR.

[19]  Mark B. Sandler,et al.  The Music Ontology , 2007, ISMIR.

[20]  Olaf Hartig,et al.  Publishing and Consuming Provenance Metadata on the Web of Linked Data , 2010, IPAW.