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Book synopsis

Music-related metadata is becoming more and more§important in times of digital music distribution.§Methods for automatically extracting such information§from the WWW have been elaborated, implemented, and§analyzed. On sets of Web pages that are related to a§music artist or band, Web content mining techniques§are applied to address the following categories of§information: §similarities between music artists, prototypicality§of an artist for a genre, descriptive properties of§an artist, band members and instrumentation, images§of album cover artwork.§§Different approaches to retrieve the corresponding§pieces of information for each of these categories§have been elaborated and evaluated thoroughly on a§considerable variety of music repositories.§Moreover, visualization methods and user interaction§models for prototypical and similar artists as well§as for descriptive terms will be presented.§§Based on the insights gained by the conducted§experiments, the core application of this thesis, the§Automatically Generated Music Information System§(AGMIS) was build. AGMIS demonstrates the§applicability of the elaborated techniques on a large§collection of more than 600,000 artists.

Book details

Book category Books in English Computing & information technology Information technology: general issues Internet: general works

• Full title: Mining the Web for Music Artist-Related Information
• Subtitle: Automatically Extracting, Analyzing, and Visualizing Information on Music Artists from the World Wide Web
• Author: Markus Schedl
• Language: English
• Binding: Paperback
• Number of pages: 172
• EAN: 9783838100821
• ISBN: 3838100824
• ID: 07086029
• Publisher: VDM Verlag Dr. Mueller E.K.
• Weight: 236 g
• Dimensions: 229 × 152 × 9 mm
• Date of publishing: 06. October 2008

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