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International Conference on Theory and Practice of Digital Libraries

TPDL 2017: Research and Advanced Technology for Digital Libraries pp 3–14Cite as

Exploiting Interlinked Research Metadata

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

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

  1. Ameri, S.: Exploiting interlinked research metadata to provide recommendations for authors of scientific papers. MA thesis. University of Bonn (2017). http://eis-bonn.github.io/Theses/2017/Shirin_Ameri/thesis.pdf

  2. Bauer, F., Kaltenböck, M.: Linked Open Data: The Essentials (2011)

    Google Scholar 

  3. Hallo, M., Luján-Mora, S., Cháez, C.: An approach to publish scientific data of open-access journals using linked open data technologies. In: EDULEARN (2014)

    Google Scholar 

  4. JQuery UI 1.12 API Documentation. https://jqueryui.com/dialog/

  5. Purohit, S., et al.: Effective tooling for linked data publishing in scientific research. In: International Conference on Semantic Computing (2016)

    Google Scholar 

  6. Rajabi, E., Sicilia, M.-A., Sanchez-Alonso, S.: Discovering duplicate and related resources using an interlinking approach: the case of educational datasets. J. Inf. Sci. 41(3), 329–341 (2015)

    Article  Google Scholar 

  7. Rajabi, E., Sicilia, M.-A., Sanchez-Alonso, S.: Interlinking educational resources to web of data through IEEE LOM. Comput. Sci. Inf. Syst. 12(1), 233–255 (2015)

    Article  Google Scholar 

  8. Rajabi, E., et al.: Interlinking educational data to web of data. In: Big Data Optimization: Recent Developments and Challenges (2015)

    Google Scholar 

  9. Rettberg, N., Schmidt, B.: OpenAIRE supporting a european open access mandate. Coll. Res. Libr. News 76(6), 306–310 (2015)

    Article  Google Scholar 

  10. Rodichevski, A.: Approximate String Matching Algorithms. http://www.morfoedro.it/doc.php?n=223&lang=en

  11. Simperl, E., et al.: Combining human and computation intelligence: the case of data interlinking tools. Int. J. Metadata Semant. Ontol. 7(2), 77–92 (2012)

    Article  Google Scholar 

  12. Stackoverflow: Difference between Jaro-Winkler and Levenshtein distance. http://stackoverflow.com/questions/25540581/difference-betweenjaro-winkler-and-levenshtein-distance

  13. Uyar, E., Brehmer, S., Athamnah, M.: Accessing, Analyzing and Linking Data from DBLP with other Internet Resources (2013)

    Google Scholar 

  14. Vahdati, S., et al.: LOD Services. Deliverable D8.2. OpenAIRE2020 (2015)

    Google Scholar 

  15. Vahdati, S., Karim, F., Huang, J.-Y., Lange, C.: Mapping large scale research metadata to linked data: a performance comparison of HBase, CSV and XML. In: Garoufallou, E., Hartley, R.J., Gaitanou, P. (eds.) MTSR 2015. CCIS, vol. 544, pp. 261–273. Springer, Cham (2015). doi:10.1007/978-3-319-24129-6_23. arXiv:1506.04006 [cs.DB]

    Chapter  Google Scholar 

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67007-2

  • Online ISBN: 978-3-319-67008-9

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