Industry 4.0 technologies extracted from Industry 4.0 papers and ESCO database

Published: 2 June 2021| Version 4 | DOI: 10.17632/ydxtrj7pg6.4
Contributors:
Vito Giordano,
,
,

Description

The dataset contains the list of the Industry 4.0 technologies extracted from: - the title, abstract and keywords of a papers set related to Indutry 4.0. The papers set is retrieved using the following query on Scopus database: - the skill labels and descriptions contained in the ESCO database. ESCO is a multilingual classification of skills, competences, qualifications, and occupations founded on paradigms contained in the EC’s New Skills for New Jobs Communication of 2008 ( https://ec.europa.eu/esco/portal/home). The technologies are automatically mapped using a Text Mining technique, callled as Nominal Entity Recognition (NER). The approach to NER used is a gazetteer based (or terminological-driven NER) approach. In particular, we use the lexicon of Inudstry 4.0 technologies developed by Chiarello et al. (2018).

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Institutions

Universita di Pisa Sistema Bibliotecario di Ateneo

Categories

Natural Language Processing, Text Mining

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