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Federating Scholarly Infrastructures with GraphQL

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Towards Open and Trustworthy Digital Societies (ICADL 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13133))

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Abstract

A plethora of scholarly knowledge is being published on distributed scholarly infrastructures. Querying a single infrastructure is no longer sufficient for researchers to satisfy information needs. We present a GraphQL-based federated query service for executing distributed queries on numerous, heterogeneous scholarly infrastructures (currently, ORKG, DataCite and GeoNames), thus enabling the integrated retrieval of scholarly content from these infrastructures. Furthermore, we present the methods that enable cross-walks between artefact metadata and artefact content across scholarly infrastructures, specifically DOI-based persistent identification of ORKG artefacts (e.g., ORKG comparisons) and linking ORKG content to third-party semantic resources (e.g., taxonomies, thesauri, ontologies). This type of linking increases interoperability, facilitates the reuse of scholarly knowledge, and enables finding machine actionable scholarly knowledge published by ORKG in global scholarly infrastructures. In summary, we suggest applying the established linked data principles to scholarly knowledge to improve its findability, interoperability, and ultimately reusability, i.e., improve scholarly knowledge FAIR-ness.

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Notes

  1. 1.

    https://orkg.org.

  2. 2.

    https://www.orkg.org/orkg/graphql.

  3. 3.

    https://www.orkg.org/orkg/graphql-federated.

  4. 4.

    https://api.datacite.org/graphql.

  5. 5.

    https://www.geonames.org/.

  6. 6.

    https://datacite.org.

  7. 7.

    https://www.igsn.org.

  8. 8.

    https://www.geonames.org/export/ws-overview.html.

  9. 9.

    https://gitlab.com/TIBHannover/orkg/orkg-notebooks/-/blob/master/graphql/COVID-19_R0_estimate/COVID-19_R0_meta-data_analysis.ipynb.

  10. 10.

    https://www.orkg.org/orkg/templates.

  11. 11.

    https://www.orkg.org/orkg/class/DCLocation.

  12. 12.

    https://schema.datacite.org.

  13. 13.

    https://support.datacite.org/docs.

  14. 14.

    https://www.openaire.eu/.

  15. 15.

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

  16. 16.

    https://zenodo.org/.

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Acknowledgment

This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and TIB–Leibniz Information Centre for Science and Technology. The authors thank Mohamad Yaser Jaradeh for his valuable input and comments.

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Authors and Affiliations

  1. L3S Research Center, Leibniz University Hannover, 30167, Hannover, Germany

    Muhammad Haris & Sören Auer

  2. TIB—Leibniz Information Centre for Science and Technology, Hannover, Germany

    Kheir Eddine Farfar, Markus Stocker & Sören Auer

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  1. Muhammad Haris
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  2. Kheir Eddine Farfar
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Correspondence to Muhammad Haris .

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Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Hao-Ren Ke

  2. Nanyang Technological University, Singapore, Singapore

    Chei Sian Lee

  3. Kyoto University, Kyoto, Japan

    Kazunari Sugiyama

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Haris, M., Farfar, K.E., Stocker, M., Auer, S. (2021). Federating Scholarly Infrastructures with GraphQL. In: Ke, HR., Lee, C.S., Sugiyama, K. (eds) Towards Open and Trustworthy Digital Societies. ICADL 2021. Lecture Notes in Computer Science(), vol 13133. Springer, Cham. https://doi.org/10.1007/978-3-030-91669-5_24

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  • DOI: https://doi.org/10.1007/978-3-030-91669-5_24

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