Automatic Interlinking of Music Datasets on the Semantic Web

نویسندگان

  • Yves Raimond
  • Christopher Sutton
  • Mark B. Sandler
چکیده

In this paper, we describe current efforts towards interlinking music-related datasets on the Web. We first explain some initial interlinking experiences, and the poor results obtained by taking a näıve approach. We then detail a particular interlinking algorithm, taking into account both the similarities of web resources and of their neighbours. We detail the application of this algorithm in two contexts: to link a Creative Commons music dataset to an editorial one, and to link a personal music collection to corresponding web identifiers. The latter provides a user with personally meaningful entry points for exploring the web of data, and we conclude by describing some concrete tools built to generate and use such links.

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تاریخ انتشار 2008