Title: |
A dataset of scientific events, containing historical data about the publications, submissions, start date, end date, location and homepage for 25 top-prestigious events series. |
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Creator: |
Said Fathalla and Christoph Lange |
Date Issued: |
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Last update: |
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Description: |
This document is a specification of top-prestigious events series in several computer science communities. |
| License and use: | Found here |
Citation: |
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We are happy to announce a new release of EVENTS. The new release is based on SEO ontology leading to richer and cleaner data.This release is a specification of 40 top-prestigious events series in six computer science communities. The dataset is publicly available online in three different formats (i.e. CSV, Turtle, json and RDF).
This release is a
specification of 25 top-prestigious events series in five computer science communities.
The dataset is publicly available online in three different formats (i.e. CSV, XML and RDF).
EVENTS is a dataset of scientific events, containing historical data about the publications, submissions, start date, end date, location and homepage for 25 top-prestigious events 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 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.
We selected top-5 conferences in five 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 -- to trace their events progress/impact,
- authors -- identify prestigious events to publish their research work,
- proceedings publishers -- to know the impact of the events they are publishing their proceedings.
| Title | year | Acronym | Series | Start date | End date | Submitted papers | Accepted papers | Submission Rate | City | State | Country | Field | Type | Homepage |
| 31st Annual National Conference on Artificial Intelligence | 2017 | AAAI | AAAI2017 | 4-Feb-17 | 9-Feb-17 | 2590 | 638 | 24.60% | San Francisco | California | USA | Artificial Intelligence | Conference | aaai.org/Conferences/AAAI/aaai17.php |
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