SIS PUT | Big Data Semantics

Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Menu

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / Big Data Semantics

Submit a comment

Article

Download BibTeX

Title

Big Data Semantics

Authors

Paolo Ceravolo
Antonia Azzini
Marco Angelini
Tiziana Catarci
Philippe Cudré-Mauroux
Ernesto Damiani
Alexandra Mazak
Maurice Van Keulen
Mustafa Jarrar
Giuseppe Santucci
Kai-Uwe Sattler
Monica Scannapieco
Manuel Wimmer
Robert Wrembel (WI) ^{[ 1 ][ 2.3 ][ P ]}
Fadi Zaraket

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2018

Published in

Journal on Data Semantics

Journal year: 2018 | Journal volume: vol. 7 | Journal number: iss. 2

Article type

scientific article

Publication language

english

Date of online publication

23.05.2018

Pages (from - to)

65 - 85

DOI

10.1007/s13740-018-0086-2

URL

https://link.springer.com/article/10.1007%2Fs13740-018-0086-2

Ministry points / journal

15

Ministry points / journal in years 2017-2021

15

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

Log in through eKonto to add to SIS

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.