| Title: Analyzing Music Metadata on Artist Influence |
| Author: Marek Kopel |
| Abstract: The paper focuses on analyzing how music artist influence one another. This analysis is a part of evaluation of the music metadata for being used as Semantic Web data source. The music dataset case study shall reveal problems to be solved before enabling the data to be usable for automatic inferencing by Web 3.0 user agents. The described part of the research is finding the authors and performers of the most covered works. The analysis is based on the musicbrainz dataset, mostly sented and the main problems of the main problems of the dataset and analysis approach are sented and the main problems of the dataset and analysis approach are discussed. |
| Keywords: Influence, Music, Dataset, Musicbrainz, Semantic web |
| Corresponding Author: |
| Conference: International Seminar on Intelligent Technology and Its Applications |
