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EVENTSKG: A 5-Star Dataset of Top-ranked Events in Eight Computer Science Communities

 
: Fathalla, Said; Lange, Christoph; Auer, Soeren

:

Hitzler, P.:
The semantic web. 16th international conference, ESWC 2019. Proceedings : Portorož, Slovenia, June 2-6, 2019
Cham: Springer Nature, 2019 (Lecture Notes in Computer Science 11503)
ISBN: 978-3-030-21347-3 (Print)
ISBN: 978-3-030-21348-0 (Online)
S.427-442
Extended Semantic Web Conference (ESWC) <16, 2019, Portoroz/Slovenia>
European Commission EC
H2020; 819536; ScienceGRAPH
Knowledge Graph based Representation, Augmentation and Exploration of Scholarly Communication
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()
Scientific Events Ontology; scholarly data; linked open data; EVENTSKG; metadata analysis; 5-star dataset

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-558159.html