EVENTSKG: A 5-Star Dataset of Top-Ranked Events in Eight Computer Science Communities
Metadata of scientific events has become increasingly available on the Web, albeit often as raw data in various formats, disregarding its semantics and interlinking relations. This leads to restricting the usability of this data for, e.g., subsequent analyses and reasoning. Therefore, there is a pressing need to represent this data in a semantic representation, i.e., Linked Data. We present the new release of the EVENTSKG dataset, comprising comprehensive semantic descriptions of scientific events of eight computer science communities. Currently, EVENTSKG is a 5-star dataset containing metadata of 73 top-ranked event series (almost 2,000 events) established over the last five decades. The new release is a Linked Open Dataset adhering to an updated version of the Scientific Events Ontology, a reference ontology for event metadata representation, leading to richer and cleaner data. To facilitate the maintenance of EVENTSKG and to ensure its sustainability, EVENTSKG is coupled with a Java API that enables users to add/update events metadata without going into the details of the representation of the dataset. We shed light on events characteristics by analyzing EVENTSKG data, which provides a flexible means for customization in order to better understand the characteristics of renowned CS events.
KeywordsScientific Events Ontology Scholarly data Linked open data EVENTSKG Metadata Analysis 5-star dataset
This work has been supported by the European Union through the H2020 ERC ScienceGRAPH project (GA no. 819536). First author would like to thank the Ministry of Higher Education of Egypt for the financial support to conduct this work.
- 1.Agarwal, S., Mittal, N., Sureka, A.: A glance at seven ACM SIGWEB series of conferences. SIGWEB Newsl. (Summer), 5:1–5:10 (2016)Google Scholar
- 3.Berners-Lee, T.: Is your linked open data 5 star. In: Berners-Lee, T. (ed.) Linked Data. Cambridge: W3C (2010)Google Scholar
- 4.Fathalla, S., Lange, C.: 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.) SAVE-SD 2017-2018. LNCS, vol. 10959, pp. 110–120. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01379-0_8CrossRefGoogle Scholar
- 5.Fathalla, S., Lange, C.: EVENTSKG: a knowledge graph representation for top-prestigious computer science events metadata. In: Nguyen, N.T., Pimenidis, E., Khan, Z., Trawiński, B. (eds.) ICCCI 2018. LNCS (LNAI), vol. 11055, pp. 53–63. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98443-8_6CrossRefGoogle Scholar
- 6.Fathalla, S., Vahdati, S., Lange, C., Auer, S.: Analysing scholarly communication metadata of computer science events. In: Kamps, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L., Karydis, I. (eds.) TPDL 2017. LNCS, vol. 10450, pp. 342–354. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67008-9_27CrossRefGoogle Scholar
- 7.Fathalla, S., Vahdati, S., Auer, S., Lange, C.: Metadata analysis of scholarly events of computer science, physics, engineering, and mathematics. In: Méndez, E., Crestani, F., Ribeiro, C., David, G., Lopes, J.C. (eds.) TPDL 2018. LNCS, vol. 11057, pp. 116–128. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00066-0_10CrossRefGoogle Scholar
- 8.Fathalla, S., Vahdati, S., Auer, S., Lange, C.: The scientific events ontology of the openresearch.org curation platform. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, pp. 2311–2313. ACM (2019)Google Scholar
- 9.Gyrard, A., Serrano, M., Atemezing, G.A.: Semantic web methodologies, best practices and ontology engineering applied to Internet of Things. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT). IEEE (2015)Google Scholar
- 11.Hiemstra, D., Hauff, C., De Jong, F., Kraaij, W.: SIGIR’s 30th anniversary: an analysis of trends in IR research and the topology of its community. In: ACM SIGIR Forum, vol. 41(2). ACM (2007)Google Scholar
- 12.Luo, D., Lyons, K.: CASCONet: A Conference dataset. arXiv (2017)Google Scholar
- 15.Vasilescu, B., Serebrenik, A., Mens, T.: A historical dataset of software engineering conferences. In: 10th Working Conference on Mining Software Repositories. IEEE Press (2013)Google Scholar
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.