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  4. EVENTS: A dataset on the history of top-prestigious events in five computer science communities
 
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2018
Conference Paper
Title

EVENTS: A dataset on the history of top-prestigious events in five computer science communities

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, analyse 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 compe ting 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.
Author(s)
Fathalla, Said
Smart Data Analytics, University of Bonn/Germany & Faculty of Science, University of Alexandria/Egypt
Lange, Christoph  orcid-logo
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
Semantics, Analytics, Visualization. 3rd International Workshop, SAVE-SD 2017  
Project(s)
OSCOSS
Funder
Deutsche Forschungsgemeinschaft DFG  
Conference
International Workshop "Semantics, Analytics, Visualisation - Enhancing Scholarly Data" (SAVE-SD) 2017  
International Workshop "Semantics, Analytics, Visualisation - Enhancing Scholarly Data" (SAVE-SD) 2018  
File(s)
Download (757.47 KB)
DOI
10.24406/publica-r-402512
10.1007/978-3-030-01379-0_8
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • scientific event dataset

  • Scholarly Communication

  • digitization

  • metadata analysis

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