Title
Big Data for Musicology
Abstract
Digital music libraries and collections are growing quickly and are increasingly made available for research. We argue that the use of large data collections will enable a better understanding of music performance and music in general, which will benefit areas such as music search and recommendation, music archiving and indexing, music production and education. However, to achieve these goals it is necessary to develop new musicological research methods, to create and adapt the necessary technological infrastructure, and to find ways of working with legal limitations. Most of the necessary basic technologies exist, but they need to be brought together and applied to musicology. We aim to address these challenges in the Digital Music Lab project, and we feel that with suitable methods and technology Big Music Data can provide new opportunities to musicology.
Year
DOI
Venue
2014
10.1145/2660168.2660187
DLfM@JCDL
Field
DocType
Citations 
Metadata,World Wide Web,Computer science,Musicology,Search engine indexing,Digital audio,Big data
Conference
0
PageRank 
References 
Authors
0.34
7
15
Name
Order
Citations
PageRank
Tillman Weyde112627.15
Stephen Cottrell200.34
Jason Dykes377360.75
Emmanouil Benetos455752.48
Daniel Wolff5153.68
Dan Tidhar6938.71
Alexander Kachkaev700.34
M. D. Plumbley81915202.38
Simon Dixon91164107.57
Mathieu Barthet1001.01
Nicolas Gold1116215.22
Samer A. Abdallah1236141.10
Aquiles Alancar-Brayner1300.68
Mahendra Mahey1400.68
Adam Tovell1500.34