Provenance-aware Faceted Search in Drupal

dc.contributor.author	Shangguan, Zhenning
dc.contributor.author	Zheng, Jin
dc.contributor.author	McGuinness, Deborah L.
dc.date.accessioned	2022-02-18T02:38:34Z
dc.date.available	2022-02-18T02:38:34Z
dc.date.issued	2010-06-16
dc.identifier.other	222
dc.identifier.uri	http://archive.tw.rpi.edu/media/latest/IPAW2010_DP_Shangguan.pdf
dc.identifier.uri	https://hdl.handle.net/20.500.13015/4624
dc.description.abstract	As 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.title	Provenance-aware Faceted Search in Drupal

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