Using linked data to classify web documents

SD Fripp

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    3 Citations (Scopus)
    713 Downloads (Pure)


    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
    Original languageEnglish
    Pages (from-to)585 - 595
    JournalAslib Proceedings
    Issue number6
    Publication statusPublished - Dec 2010

    Bibliographical note

    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


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