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Using linked data to classify web documents

Research output: Contribution to journalArticle

Original languageEnglish
Pages585 - 595
JournalAslib Proceedings
Journal publication dateDec 2010
Journal issue6
Volume62
DOIs
StatePublished

Abstract

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

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

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    Author final version (often known as postprint) , 849 KB, PDF-document

DOI

Research areas

  • facet analysis, information retrieval, classification, linked data, metadata, semantic web

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