Hierarchical Organization and Description of Music Collections at the Artist Level View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2005

AUTHORS

Elias Pampalk , Arthur Flexer , Gerhard Widmer

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. More... »

PAGES

37-48

References to SciGraph publications

  • 1992. Script Recognition with Hierarchical Feature Maps in CONNECTIONIST NATURAL LANGUAGE PROCESSING
  • 2001. Self-Organizing Maps in NONE
  • 1999-07. Accessibility of information on the web in NATURE
  • Book

    TITLE

    Research and Advanced Technology for Digital Libraries

    ISBN

    978-3-540-28767-4
    978-3-540-31931-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/11551362_4

    DOI

    http://dx.doi.org/10.1007/11551362_4

    DIMENSIONS

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