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Building semantic biomedical/scientific publishing classification systems in the context of both publishing and centralised document management

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  • Cagle, Kurt

Abstract

Metadata, information about content, are typically stored in various content management systems independently from documents themselves. A new breed of hybrid data systems – most notably the MarkLogic Enterprise NoSQL Server – make it possible to embed semantic metadata with published content, making such content both easier to locate and easier to relate to other documents. This paper illustrates both how such embedding can be done, and explores the benefits of using embedded metadata for content management. This paper not only uses the MarkLogic server as a reference for how this can be done, but also discusses alternative approaches.

Suggested Citation

  • Cagle, Kurt, 2017. "Building semantic biomedical/scientific publishing classification systems in the context of both publishing and centralised document management," Journal of Digital Media Management, Henry Stewart Publications, vol. 5(4), pages 352-363, August.
    • Handle: RePEc:aza:jdmm00:y:2017:v:5:i:4:p:352-363
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    More about this item

    Keywords

    Semantic Web; MarkLogic; RDF; data modelling; linked open data; smart data; XML; JSON;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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