EVENTSKG dataset

EVENTS is a dataset of scientific events, containing historical data about the publications, submissions, start date, end date, location and homepage for top-prestigious events series in computer science communities. The dataset is publicly available online in three different formats (i.e. CSV, XML and RDF). It is of interest to the conference steering committees or program chairs to assess the progress of their event over time and compare it against other competing events in the same field, or by potential authors who look for events to publish their work. The main goal of EVENTSKG is to facilitate the meta-analysis of scholarly events metadata, by providing a comprehensive dataset which can to be queried using SPARQL through its SPARQL endpoint.
We selected top-5 conferences in each CS communities derived from analysing the topics of each event series, then mapped to the ACM Computing Classification System (CCS): Information systems (IS), Security and privacy (SEC), Artificial intelligence (AI), Computer systems organization (CSO) and Software and its engineering (SE).
This dataset plug an important gap in analyzing the progress of a CS community in terms of submissions and publications over a long-term vision.
In addition, it measures some significant aspects of different computer science communities publications over time, how submissions change and distribution of prestigious events in each community over the world.
We believe that EVENTS dataset will have a great impact on scholarly communication community especially, for:

- events organizers -- in order to measure the impact of their events in the comparison with other prestigious events in their community or event prestigious events other communities by finding the success factors of them,
- authors --in order to know the characteristics of high-impact events to select to which events they should submit their work to,
- proceedings publishers -- to know the impact of the events they are publishing their proceedings.