OntoElect

Published: 18 November 2018| Version 1 | DOI: 10.17632/knb8fgyr8n.1
Contributors:
Victoria Kosa, David Chaves-Fraga, Vadim Ermolayev, Aliaksandr Birukou

Description

These data represents three collections of Scientific papers, and all the intermediate data, used to experiment on detecting terminological saturation in document collections. This work is done in frame of OntoElect project.

Files

Institutions

Springer Verlag GmbH, Zaporiz'kyj natsional'nyj universitet, Universidad Politecnica de Madrid

Categories

Ontology, Text Mining

Related Links

Software
https://github.com/OntoElect/
is related to this dataset

Licence