The Indexer: The International Journal of Indexing

Structured data for online content: how indexers can help search engines

The Indexer: The International Journal of Indexing (2018), 36, (3), 101–105.

Abstract

Search engines are constantly crawling through a vast amount of online information. Most of this process is automated, but human assistance is still needed to tease out the meaning, context, and nuances that machines can miss. Alexandra Bell suggests that indexers could help search engines provide better results for users by applying structured data to online content.

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Berners-Lee, T. (2006) ‘Linked data – design issues.’ www.w3.org/DesignIssues/LinkedData.html (accessed 1 June 2018). Google Scholar

Berners-Lee, T., Hendler, J. and Lassila, O. (2001) ‘The semantic web.’ Scientific American 284(5), 34–43. The dramatic rise of data creation and replication Scientific American 284 34 43 Google Scholar

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Guha, R., Brickley, D. and MacBeth, S. (2016) ‘Schema.org: evolution of structured data on the web.’ Communications of the ACM 59(2), 44–51. Schema.org: evolution of structured data on the web Communications of the ACM 59 44 51 Google Scholar

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Jett, J., Cole, T. W., Han, M. J. K. and Szylowicz, C. (2017) ‘Linked open data (LOD) for library special collections’. Unpublished paper presented at 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Toronto, Canada, 19–23 June. Linked open data (LOD) for library special collections Google Scholar

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Ogp.me. (2018) Open Graph protocol. http://ogp.me/ (accessed 1 June 2018). Google Scholar

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Author details

Bell, Alexandra