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EVENTS: A Dataset on the History of Top-Prestigious Events in Five Computer Science Communities

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Semantics, Analytics, Visualization (SAVE-SD 2017, SAVE-SD 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10959))

Abstract

Information emanating from scientific events, journal, organizations, institutions as well as scholars become increasingly available online. Therefore, there is a great demand to assess, analyze and organize this huge amount of data produced every day, or even every hour. In this paper, we present a dataset (EVENTS) of scientific events, containing historical data about the publications, submissions, start date, end date, location and homepage for 25 top-prestigious event series (718 editions in total) in five computer science communities. The dataset is publicly available online in three different formats (i.e., CSV, XML, and RDF). It is of primary interest to the steering committees or program chairs of the events to assess the progress of their event over time and compare it to competing events in the same field, and to potential authors looking for events to publish their work. In addition, we shed light on these events by analyzing their metadata over the last 50 years. Our transferable analysis is based on exploratory data analysis.

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Notes

  1. 1.

    The oldest data points.

  2. 2.

    http://www.core.edu.au/.

  3. 3.

    http://qualis.ic.ufmt.br/.

  4. 4.

    http://valutazione.unibas.it/gii-grin-scie-rating/.

  5. 5.

    https://dl.acm.org/ccs/ccs.cfm.

  6. 6.

    It would be correct to label a symposium as a small scale conference as the number of participants is smaller.

  7. 7.

    https://www.w3.org/RDF/Validator/.

  8. 8.

    Prefixes are used as defined at http://prefix.cc. “seo” is used for OR-SEO, the Scientific Events Ontology.

  9. 9.

    http://ieeexplore.ieee.org.

  10. 10.

    https://dl.acm.org/.

  11. 11.

    http://openresearch.org.

  12. 12.

    these values are included into the dataset, so that others wouldn’t have to recompute them.

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Acknowledgments

Said Fathalla would like to acknowledge the Ministry of Higher Education (MoHE) of Egypt for providing a scholarship to conduct this study and Heba Mohamed for her support in data acquisition. This work has been supported by the DFG under grant agreement AU 340/9-1 (OSCOSS).

Author information

Authors and Affiliations

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

    Said Fathalla & Christoph Lange

  2. Faculty of Science, University of Alexandria, Alexandria, Egypt

    Said Fathalla

  3. Fraunhofer IAIS, Sankt Augustin, Germany

    Christoph Lange

Authors
  1. Said Fathalla
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  2. Christoph Lange
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Corresponding author

Correspondence to Said Fathalla .

Editor information

Editors and Affiliations

  1. Oxford e-Research Centre, University of Oxford, Oxford, UK

    Alejandra González-Beltrán

  2. Waltan Hall, KMi, Open University, Milton Keynes, UK

    Francesco Osborne

  3. Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy

    Silvio Peroni

  4. University of Bonn, Bonn, Germany

    Sahar Vahdati

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Fathalla, S., Lange, C. (2018). EVENTS: A Dataset on the History of Top-Prestigious Events in Five Computer Science Communities. In: González-Beltrán, A., Osborne, F., Peroni, S., Vahdati, S. (eds) Semantics, Analytics, Visualization . SAVE-SD SAVE-SD 2017 2018. Lecture Notes in Computer Science(), vol 10959. Springer, Cham. https://doi.org/10.1007/978-3-030-01379-0_8

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  • DOI: https://doi.org/10.1007/978-3-030-01379-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01378-3

  • Online ISBN: 978-3-030-01379-0

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