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dc.contributor.authorShangguan, Zhenning
dc.contributor.authorZheng, Jin
dc.contributor.authorMcGuinness, Deborah L.
dc.date.accessioned2022-02-18T02:38:34Z
dc.date.available2022-02-18T02:38:34Z
dc.date.issued2010-06-16
dc.identifier.other222
dc.identifier.urihttp://archive.tw.rpi.edu/media/latest/IPAW2010_DP_Shangguan.pdf
dc.identifier.urihttps://hdl.handle.net/20.500.13015/4624
dc.description.abstractAs the web content is increasingly generated in more diverse situations, provenance is becoming more and more critical. While a variety of approaches have been investigated for capturing and making use of provenance metadata, arguably no single best-practice approach has emerged. In this paper, we investigate an approach that leverages one of the most popular content management systems - Drupal. More specifically, we study how provenance meta- data can be captured and later published as structured data on the Web using Drupal. We also demonstrate how provenance metadata can be used to facilitate faceted search in Drupal.
dc.titleProvenance-aware Faceted Search in Drupal


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