Cited By
View all- Alsukhayri AAslam MKhan IAbbasi RBabour A(2022)Toward Building a Linked Open Data Cloud to Predict and Regulate Social Relations in the Saudi SocietyIEEE Access10.1109/ACCESS.2022.317409010(50548-50561)Online publication date: 2022
Linked music data from global music charts
September 2014
Pages 108 - 115
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.
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Index Terms
- Linked music data from global music charts
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Published In
September 2014
161 pages
ISBN:9781450329279
DOI:10.1145/2660517
Copyright © 2014 ACM.
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Sponsors
- St. Pölten University: St. Pölten University of Applied Sciences, Austria
- University of Potsdam: University of Potsdam
- PoolParty: PoolParty (Semantic Web Company GmbH)
- University of Vienna: University of Vienna
- Wolters Kluwer: Wolters Kluwer, Germany
- Semantic Web Company: Semantic Web Company
- STII: STI International
- DBpedia Association: DBpedia Association
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 September 2014
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Author Tags
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- Research-article
Funding Sources
- Faculty of Computer Science and Engineering, at the Ss. Cyril and Methodius University in Skopje
Conference
SEM '14
Sponsor:
- St. Pölten University
- University of Potsdam
- PoolParty
- University of Vienna
- Wolters Kluwer
- Semantic Web Company
- STII
- DBpedia Association
SEM '14: SEMANTiCS 2014 - 10th International Conference on Semantic Systems
September 4 - 5, 2014
Leipzig, Germany
Acceptance Rates
SEM '14 Paper Acceptance Rate 22 of 59 submissions, 37%;
Overall Acceptance Rate 22 of 59 submissions, 37%
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View all- Alsukhayri AAslam MKhan IAbbasi RBabour A(2022)Toward Building a Linked Open Data Cloud to Predict and Regulate Social Relations in the Saudi SocietyIEEE Access10.1109/ACCESS.2022.317409010(50548-50561)Online publication date: 2022
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