Linked Music Data from Global Music Charts
Date Issued
2014-09-04
Author(s)
Jovanovik, Milos
Najdenov, Bojan
Petrov, Matej
Abstract
Accessing data on the Web in order to obtain useful information
has been a challenge in the past decade. The technologies of the
Semantic Web have enabled the creation of the Linked Data
Cloud, as a concrete materialization of the idea to transform the
Web from a web of documents into a web of data. The Linked
Data concept has introduced new ways of publishing, interlinking
and using data from various distributed data sources, over the
existing Web infrastructure. On the other hand, music represents a
big part of the everyday life for many people in the world, and
therefore, understandably, the Web contains loads of data from
the music domain. Given the fact that Linked Data enables new,
advanced use-case scenarios, the music domain and its users can
also benefit from this new data concept. Besides being provided
with additional information about their favorite artists and songs,
the users can also potentially get an overview of the dynamics of
the global music playlists and charts, from the aspects of artists,
countries, genres, etc. In this paper, we describe the process of
transforming one- and two-star music playlists and charts data
from various global radio stations, into five-star Linked Data, in
order to demonstrate these benefits. We also present the design of
our Playlist Ontology necessary for our data model. We then
demonstrate – via SPARQL queries and a web application – some
of the new use-case scenarios for the users over the published
linked dataset, which are otherwise not available over the isolated
datasets on the Web.
has been a challenge in the past decade. The technologies of the
Semantic Web have enabled the creation of the Linked Data
Cloud, as a concrete materialization of the idea to transform the
Web from a web of documents into a web of data. The Linked
Data concept has introduced new ways of publishing, interlinking
and using data from various distributed data sources, over the
existing Web infrastructure. On the other hand, music represents a
big part of the everyday life for many people in the world, and
therefore, understandably, the Web contains loads of data from
the music domain. Given the fact that Linked Data enables new,
advanced use-case scenarios, the music domain and its users can
also benefit from this new data concept. Besides being provided
with additional information about their favorite artists and songs,
the users can also potentially get an overview of the dynamics of
the global music playlists and charts, from the aspects of artists,
countries, genres, etc. In this paper, we describe the process of
transforming one- and two-star music playlists and charts data
from various global radio stations, into five-star Linked Data, in
order to demonstrate these benefits. We also present the design of
our Playlist Ontology necessary for our data model. We then
demonstrate – via SPARQL queries and a web application – some
of the new use-case scenarios for the users over the published
linked dataset, which are otherwise not available over the isolated
datasets on the Web.
Subjects
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