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 metadata 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.
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Shangguan, Z., Zheng, J., McGuinness, D.L. (2010). Provenance-Aware Faceted Search in Drupal. In: McGuinness, D.L., Michaelis, J.R., Moreau, L. (eds) Provenance and Annotation of Data and Processes. IPAW 2010. Lecture Notes in Computer Science, vol 6378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17819-1_17
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DOI: https://doi.org/10.1007/978-3-642-17819-1_17
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