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Hierarchical Organization and Description of Music Collections at the Artist Level

  • Conference paper
Research and Advanced Technology for Digital Libraries (ECDL 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3652))

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Abstract

As digital music collections grow, so does the need to organizing them automatically. In this paper we present an approach to hierarchically organize music collections at the artist level. Artists are grouped according to similarity which is computed using a web search engine and standard text retrieval techniques. The groups are described by words found on the webpages using term selection techniques and domain knowledge. We compare different term selection techniques, present a simple demonstration, and discuss our findings.

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Author information

Authors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Vienna, Austria

    Elias Pampalk, Arthur Flexer & Gerhard Widmer

  2. Department of Medical Cybernetics and Artificial Intelligence, Center for Brain Research, Vienna University of Medicine, Austria

    Arthur Flexer

  3. Department of Computational Perception, Johannes Kepler University, Linz, Austria

    Gerhard Widmer

Authors
  1. Elias Pampalk
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  2. Arthur Flexer
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  3. Gerhard Widmer
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Editor information

Editors and Affiliations

  1. Vienna University of Technology, Vienna, Austria

    Andreas Rauber

  2. Laboratory of Distributed Multimedia Information Systems and Applications, Technical University of Crete (MUSIC/TUC) Chania, 73100, Crete, Greece

    Stavros Christodoulakis

  3. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstr. 9-11/188, A-1040, Wien, Austria

    A Min Tjoa

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© 2005 Springer-Verlag Berlin Heidelberg

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Pampalk, E., Flexer, A., Widmer, G. (2005). Hierarchical Organization and Description of Music Collections at the Artist Level. In: Rauber, A., Christodoulakis, S., Tjoa, A.M. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2005. Lecture Notes in Computer Science, vol 3652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551362_4

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  • DOI: https://doi.org/10.1007/11551362_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28767-4

  • Online ISBN: 978-3-540-31931-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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