http://hdl.handle.net/1983/1591 2013-05-17T13:41:34Z 2013-05-17T13:41:34Z Fripp, SD http://hdl.handle.net/1983/1702 2011-02-10T00:35:24Z 2010-12-01T00:00:00Z

Using linked data to classify web documents Fripp, SD Purpose – To find a relationship between traditional faceted classification schemes and semantic web document annotators, particularly in the linked data environment. Design/methodology/approach – A consideration of the conceptual ideas behind faceted classification and linked data architecture is made. Analysis on selected web documents is performed using Calais’ Semantic Proxy to support the considerations. Findings – Technical language aside, the principles of both approaches are very similar. Modern classification techniques have the potential to automatically generate metadata to drive more precise information recall by including a semantic layer. Originality – Linked Data has not been explicitly considered in this context before in the published literature. Keywords - Classification, Information retrieval, Semantic web, Linked data, Facet analysis, Metadata Paper type - Technical paper Author's own post-print version of a paper published in the Aslib Proceedings journal, by Emerald Publishing Group.

2010-12-01T00:00:00Z Smart, CA http://hdl.handle.net/1983/1592 2010-03-26T00:35:17Z 2008-01-01T00:00:00Z

Library Card Catalogue Digitisation Project report Smart, CA

2008-01-01T00:00:00Z