MusicPedia: retrieving and merging-interlinking music metadata

Pipina Nikolaidou, Stavros Shiaeles, Alexandros S. Karakos

Research output: Contribution to journalArticlepeer-review


The rapid change of computers from isolated machines to networks and the need of people to exchange information lead us to the World Wide Web (WWW). Nowadays a lot of people are spending lot of hours in WWW searching information for every aspect of life. This increase of information in WWW, increase also the difficulty to find and access the information required. In response to this problem is Semantic Web, which is the field of web data from which actual meaning can be derived through analysis and machine learning. It is based on machine – comprehensible information enriched with metadata and uses the Xml technology. While music is one of the most famous domains on web searches, music metadata would play a determinative role on music web searches. Music industry was traditionally known for its poor market research and analysis, but Semantic Web will improve its knowledge base. A very important issue on this domain is the fact that a music metadata standard does not exist and this leads to many significant problems, unresolved until today. We propose an approach to retrieve and merge dynamically music metadata from different databases in order to have more accurate and completed results. The
retrieved metadata are written in Xml, which is a format widely used on Semantic Web. This paper describes a Semantic Web–based application so as to retrieve and merge online music information from three different music metadata databases.
Original languageEnglish
Pages (from-to)11-17
Number of pages7
JournalJournal of Computing
Issue number8
Publication statusPublished - Aug 2011


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