Processing of Musical Metadata Employing Pawlak's Flow Graphs

The objective of the presented research is enabling music retrieval based on intelligent analysis of metadata contained in musical databases. A database was constructed for the purpose of this study including textual data related to approximately 500 compact discs representing various categories of music. The description format of musical recordings stored in the database is compatible to the format of the widely-used CDDB database available in the Internet. An advanced query algorithm was prepared employing the concept of inference rule derivation from flow graphs introduced recently by Pawlak. The created database searching engine utilizes knowledge acquired in advance and stored in flow graphs in order to enable searching CD records.

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