In the era of Big Data, manufacturing companies are overwhelmed by a lot of disorganized information: the large amount of digital content that is increasingly available in the manufacturing process makes the retrieval of accurate information a critical issue. In this context, and thanks also to the Industry 4.0 campaign, the Italian manufacturing industries have made a lot of effort to ameliorate their knowledge management system using the most recent technologies, like big data analysis and machine learning methods. This paper presents the on-going work done within the ADA project, with special emphasis on the specific image analysis work carried out to extract information from images contained in the so different document of the manufacturing companies, partners of the project.

Image analysis in technical documentation

Carrara F;Debole F;Gennaro C;Amato G
2019

Abstract

In the era of Big Data, manufacturing companies are overwhelmed by a lot of disorganized information: the large amount of digital content that is increasingly available in the manufacturing process makes the retrieval of accurate information a critical issue. In this context, and thanks also to the Industry 4.0 campaign, the Italian manufacturing industries have made a lot of effort to ameliorate their knowledge management system using the most recent technologies, like big data analysis and machine learning methods. This paper presents the on-going work done within the ADA project, with special emphasis on the specific image analysis work carried out to extract information from images contained in the so different document of the manufacturing companies, partners of the project.
2019
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
Massimo Mecella, Giuseppe Amato, Claudio Gennaro
SEBD 2019 - Italian Symposium on Advanced Database Systems
8
http://ceur-ws.org/Vol-2400/
Sì, ma tipo non specificato
16-19 July, 2019
Castiglione della Pescaia (Grosseto), Italy
Image analysis
Machine learning
Big data
Manufacturing companies
4
open
Carrara, F; Debole, F; Gennaro, C; Amato, G
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
File in questo prodotto:
File Dimensione Formato  
prod_424054-doc_151113.pdf

accesso aperto

Descrizione: Image analysis in technical documentation
Tipologia: Versione Editoriale (PDF)
Dimensione 462.81 kB
Formato Adobe PDF
462.81 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/406709
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact