Department of Computational Perception
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Computational Perception
Johannes Kepler Universität Linz

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Automatically Generated Music Information System (AGMIS)

Music-related information is becoming more and more important in times of digital music distribution via the Internet as users of online music stores nowadays expect to be offered additional meta-information beyond the pure digital music file. The AGMIS project aims at developing novel techniques as well as refining existing ones in order to gather information about music artists and bands from the Web. More precisely, on sets of Web pages that are related to a music artist or band, Web content mining techniques are applied to extract the following categories of information:

    • similarities between music artists or bands
    • prototypicality of an artist or a band for a genre
    • descriptive properties of an artist or a band
    • band members and instrumentation
    • images of album cover artwork

AGMIS demonstrates the applicability of the elaborated techniques on a large collection of more than 600,000 artists by providing a Web-based user interface to access a database that has been populated automatically with the extracted information. Although AGMIS does not always give perfectly accurate results, the automatic approaches to information retrieval have some advantages in comparison with those employed in existing music information systems, which are either based on labor-intensive information processing by music experts or on community knowledge that is vulnerable to distortion of information.

A prototypical implementation of AGMIS is running as Java servlet at Please be aware that the service may be down for some reason.


Automatically Extracting, Analyzing, and Visualizing Information on Music Artists from the World Wide Web
Schedl, M.
PhD Thesis. Johannes Kepler University Linz, June 2008.
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Towards an Automatically Generated Music Information System via Web Content Mining
Schedl, M., Knees, P., Pohle, T., and Widmer, G.
Proceedings of the 30th European Conference on Information Retrieval (ECIR 2008), Glasgow, Scotland, March-April 2008.
© Springer-Verlag, Published in the Lecture Notes in Computer Science (LNCS) series.
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last edited by ms at 2008-09-30