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
Additional information: Author's own post-print version of a paper published in the Aslib Proceedings journal, by Emerald Publishing Group.
Publisher: Emerald Publishing Group Limited
- facet analysis, information retrieval, classification, linked data, metadata, semantic web