Approximate semantic matching of music classes on the internet

Zharko Aleksovski, Warner Ten Kate, Frank Van Harmelen

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review


We address the problem of semantic matching, which concerns the search for semantic agreement between heterogeneous concept hierarchies. We propose a new approximation method to discover and assess the "strength" (preciseness) of a semantic match between concepts from two such concept hierarchies. We apply the method in the music domain, and present the results of preliminary tests on concept hierarchies from actual sites on the Internet.

Original languageEnglish
Title of host publicationIntelligent Algorithms in Ambient and Biomedical Computing
PublisherSpringer Netherlands
Number of pages15
ISBN (Print)9781402049538
Publication statusPublished - 2006


  • approximation
  • Music genre
  • music style
  • ontology
  • semantic matching
  • semantic web


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