Sounds interesting…
Indiana University is pleased to announce the public (very Beta) release of Scherzo, a music discovery system designed as a testbed of the FRBR conceptual model. The system may be accessed at . A product of the IMLS-funded Variations/FRBR project, Scherzo is an early proof of concept for what a library catalog built according to FRBR principles might look like. The current released system is most certainly not a finished product; rather it represents an attempt to share in-progress development work with interested individuals. It is (and will continue to be) far from perfect, and the Variations/FRBR project team hopes these very imperfections help to promote community discussion on the utility of the FRBR model and how feasible mechanisms to automatically FRBRize MARC bibliographic and authority records are likely to be. We welcome and intend to participate in public discussion on this system and the issues it raises. In addition, specific feedback may be sent to

Scherzo currently contains records representing approximately 80,000 sound recordings from the holdings of Indiana University’s renowed William and Gayle Cook Music Library in the Jacobs School of Music. Work on Scherzo to date has focused most heavily on FRBR Work identification from MARC and basic results display in a FRBRized environment. While we have paid some attention to user interface design, it is not our project’s primary concern. The search system currently resides on a test server; while we expect the service to be generally available, please excuse any temporary down time or unexpected restarts.

In the relatively short term, we have a number of planned improvements to the system, including a keyword search, improved Work identification processes, representing more specific roles that Group 2 entities have to Group 1 entities (beyond created by, realized by, and produced by defined in the FRBR reports), and bulk download of the source data powering this system in XML. In the slightly longer term we hope to make the source data available as Linked Data as well.

For more information, you may see detailed specifications for our MARC to FRBR record transformation, or the project home page