Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies
Sprache des Vortragstitels:
Englisch
Original Kurzfassung:
We present three general approaches to detecting
prototypical entities in a given taxonomy and apply them to a
music information retrieval (MIR) problem. More precisely, we
try to find prototypical music artists for each genre in a given
real-world taxonomy. The three approaches rely on web-based
data mining techniques and derive prototypicality rankings from
properties based on the number of web pages found for given
entity names.
We illustrate the approaches using a genre taxonomy created
by music experts and present results of extensive evaluations. In
detail, three evaluation approaches have been applied. First, we
model and evaluate a classification task to determine accuracies.
Taking the ordinal character of the prototypicality rankings into
account, we further calculate rank order correlation according
to Spearman and to Kendall. Interesting insights concerning the
performance of the respective approaches when confronting them
to the expert rankings are given.
Sprache der Kurzfassung:
Englisch
Vortragstyp:
Vortrag auf einer Tagung (referiert)
Vortragsdatum:
08.12.2006
Vortragsort:
Indien
Details zum Vortragsort:
1st IEEE International Conference onDigital Information Management(ICDIM´06) Bangalore
Forschungs-