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Exploiting Interlinked Research Metadata

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Research and Advanced Technology for Digital Libraries (TPDL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10450))

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Abstract

OpenAIRE, the Open Access Infrastructure for Research in Europe, aggregates metadata about research (projects, publications, people, organizations, etc.) into a central Information Space. OpenAIRE aims at increasing interoperability and reusability of this data collection by exposing it as Linked Open Data (LOD). By following the LOD principles, it is now possible to further increase interoperability and reusability by connecting the OpenAIRE LOD to other datasets about projects, publications, people and organizations. Doing so required us to identify link discovery tools that perform well, as well as candidate datasets that provide comprehensive scholarly communication metadata, and then to specify linking rules. We demonstrate the added value that interlinking provides for end users by implementing visual frontends for looking up publications to cite, and publication statistics, and evaluating their usability on top of interlinked vs. non-interlinked data.

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Notes

  1. 1.

    https://tw.rpi.edu/web/project/RDESC.

  2. 2.

    http://tinyurl.com/OALOD.

  3. 3.

    http://lod.openaire.eu/sparql.

  4. 4.

    http://aksw.org/Projects/LIMES.html.

  5. 5.

    http://silkframework.org/.

  6. 6.

    https://datahub.io/.

  7. 7.

    https://wikipedia.org/Levenshtein_distance.

  8. 8.

    https://www.fiduswriter.org.

  9. 9.

    Note that the encoding problem (‘Sören Auer’ in OA instead of ‘Sören Auer’ in DBLP) stems from the OA data.

  10. 10.

    https://wikipedia.org/wiki/System_Usability_Scale.

References

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Acknowledgments

This work has been partially funded by European Commission grant 643410 (OpenAIRE) and by DFG grant AU 340/9-1. This work has been partially funded by the European Commission with a grant for the H2020 project OpenAIRE2020 (GA no. 643410) and OpenBudgets.eu (GA no. 645833).

Author information

Authors and Affiliations

  1. Smart Data Analytics (SDA), University of Bonn, Bonn, Germany

    Shirin Ameri, Sahar Vahdati & Christoph Lange

  2. Fraunhofer, Intelligent Analysis and Information Systems (IAIS), Sankt Augustin, Germany

    Christoph Lange

Authors
  1. Shirin Ameri
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  2. Sahar Vahdati
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  3. Christoph Lange
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Corresponding author

Correspondence to Sahar Vahdati .

Editor information

Editors and Affiliations

  1. Faculteit der Geesteswetenschappen, Universiteit van Amsterdam , Amsterdam, The Netherlands

    Jaap Kamps

  2. Library & Information Center, University of Patras , Patras, Greece

    Giannis Tsakonas

  3. Aristotle University of Thessaloniki , Thessaloniki, Greece

    Yannis Manolopoulos

  4. Civil Engineering, University of Thrace , Kimmeria, Greece

    Lazaros Iliadis

  5. Informatics, Ionian University , Kerkyra, Greece

    Ioannis Karydis

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Ameri, S., Vahdati, S., Lange, C. (2017). Exploiting Interlinked Research Metadata. In: Kamps, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L., Karydis, I. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2017. Lecture Notes in Computer Science(), vol 10450. Springer, Cham. https://doi.org/10.1007/978-3-319-67008-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-67008-9_1

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  • Print ISBN: 978-3-319-67007-2

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