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Using Linked Data Resources to Generate Web Pages Based on a BBC Case Study

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Intelligent Computing (SAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 857))

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Abstract

Many organizations have attempted to automatically exploit the data embedded in web pages and enrich the web with a semantic dimension. Data should follow the principles outlined by Tim Berners Lee, which is based on traditional web technologies, such as, Uniform Resource Identifier (URI) and Hypertext Transmission Protocol (HTTP), and semantic web technologies, including knowledge representation languages, such as, Resource Description Framework (RDF), as well as links to other data. The uses of linked data technology are numerous and varied. The case of the British Broadcasting Corporation (BBC) is the most widely reported success story of linked data technology usage in the literature. This success stems from the use of linked data in the BBC web portal, which enables the site to present rich content that is automatically updated from linked data cloud. The aim of this study is to analyze the literature relating to this case study to derive approaches and technologies for linked data usage and propose a group of best practices, as well as a generic approach that can be used by web developers.

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Notes

  1. 1.

    https://www.w3.org/TR/rdf-primer/.

  2. 2.

    https://www.w3.org/TR/rdf-sparql-query/.

  3. 3.

    https://www.programmableweb.com/api/yahoo-term-extraction.

  4. 4.

    http://wiki.dbpedia.org/projects/dbpedia-lookup.

  5. 5.

    http://www.bbc.co.uk/ontologies/po.

  6. 6.

    http://www.dbpedialite.org.

  7. 7.

    https://redis.io.

  8. 8.

    https://live-bbc.devportal.apigee.io/content/bbc-live-topics-api-0.

  9. 9.

    https://www.elastic.co/fr.

  10. 10.

    The source code is available at: https://sourceforge.net/projects/webpagefromld.

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Correspondence to Leila Zemmouchi-Ghomari .

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Zemmouchi-Ghomari, L., Sefsaf, R., Azni, K. (2019). Using Linked Data Resources to Generate Web Pages Based on a BBC Case Study. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 857. Springer, Cham. https://doi.org/10.1007/978-3-030-01177-2_35

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