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EVENTSKG: A Knowledge Graph Representation for Top-Prestigious Computer Science Events Metadata

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Computational Collective Intelligence (ICCCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11055))

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Abstract

Digitization has made the preparation of manuscripts as well as the organization of scientific events considerably easier and efficient. In addition, data about scientific events is increasingly published on the Web, albeit often as raw dumps in unstructured formats, immolating its semantics and relationships to other data and thus restricting the reusability of the data for, e.g., subsequent analyses. Therefore, there is a great demand to represent this data in a semantic representation using Semantic Web technologies. In this paper, we present the EVENTSKG dataset to offer a comprehensive semantic descriptions of scientific events of six computer science communities for 40 top-prestigious event series over the last five decades. We created a new, publicly available and improved release of the EVENTSKG dataset as a unified knowledge graph based on our Scientific Events Ontology (SEO). It is of primary interest to event organizers, as it helps them to assess the progress of their event over time and compare it to competing events. Furthermore, it helps potential authors looking for venues to publish their work. We shed light on these events by analyzing the EVENTSKG data.

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Notes

  1. 1.

    http://sda.tech/SEOontology/Documentation/SEO.html.

  2. 2.

    Using ACM Computing Classification System: https://dl.acm.org/ccs/ccs.cfm.

  3. 3.

    http://data.semanticweb.org/ns/swc/swc_2009-05-09.html.

  4. 4.

    namespace look-up tool for RDF developers: http://prefix.cc/.

  5. 5.

    Symposium is a small scale conference, with a smaller number of participants.

  6. 6.

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

  7. 7.

    https://validator.w3.org/.

  8. 8.

    http://sda.tech/EVENTS-Dataset/EVENTS.html.

  9. 9.

    http://www.core.edu.au/, http://qualis.ic.ufmt.br/, https://goo.gl/3kDfFB.

  10. 10.

    https://github.com/ethz-asl/libfactplusplus, https://github.com/phillord/hermit-reasoner.

  11. 11.

    This table is an extension to the table on the scientometric profile of events series in the EVENTS dataset as presented by Fathalla et al. [7].

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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.

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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 .

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Editors and Affiliations

  1. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Elias Pimenidis

  3. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Zaheer Khan

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Fathalla, S., Lange, C. (2018). EVENTSKG: A Knowledge Graph Representation for Top-Prestigious Computer Science Events Metadata. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-98443-8_6

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