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Selected Challenges in Grammar-Based Text Generation from the Semantic Web

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Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11866))

Abstract

In this paper, based on the recent outcome of two shared tasks on structured data verbalisation, and examining one system in particular, we present some evidence why grammar-based systems are particularly relevant for the verbalisation of structured data as found in the Semantic Web. We then define possible future lines of research, centered around the FORGe system and the linguistic grounding of Semantic Web datasets.

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Notes

  1. 1.

    https://www.w3.org/wiki/SweoIG/TaskForces/CommunityProjects/LinkingOpenData.

  2. 2.

    http://lod-cloud.net/.

  3. 3.

    https://wiki.dbpedia.org/.

  4. 4.

    https://www.wikidata.org/wiki/Wikidata:Main_Page.

  5. 5.

    This information appears in the infobox of the corresponding Wikipedia page: https://en.wikipedia.org/wiki/Arr%C3%B2s_negre.

  6. 6.

    http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=45093.

  7. 7.

    One of the first papers mentioning multiple datasets was published in 2012 [10].

  8. 8.

    It took about two hours to adapt FORGe to a hundred new DBpedia properties.

  9. 9.

    See also [6] for an overview of models to represent linked data and their issues.

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Acknowledgements

The work reported in this paper has been partly supported by the European Commission in the framework of the H2020 Programme under the contract numbers 700475-IA, 700024-RIA, 779962-RIA, 786731-RIA and 825079-ICT-STARTS.

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  1. Universitat Pompeu Fabra, Barcelona, Spain

    Simon Mille

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  1. Simon Mille
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  1. Federal Research Center "Computer Science and Control", Moscow, Russia

    Gennady S. Osipov

  2. Federal Research Center "Computer Science and Control", Moscow, Russia

    Aleksandr I. Panov

  3. Federal Research Center "Computer Science and Control", Moscow, Russia

    Konstantin S. Yakovlev

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Mille, S. (2019). Selected Challenges in Grammar-Based Text Generation from the Semantic Web. In: Osipov, G., Panov, A., Yakovlev, K. (eds) Artificial Intelligence. Lecture Notes in Computer Science(), vol 11866. Springer, Cham. https://doi.org/10.1007/978-3-030-33274-7_5

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  • DOI: https://doi.org/10.1007/978-3-030-33274-7_5

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