Text- und Data-Mining

Digital methods such as text and data mining are utilised more and more frequently to gather knowledge, thereby offering the ability to recognise patterns in large data sets as well as being the basis of machine learning. This work examines this digital method from a copyright perspective, evaluatin...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile nagusia: Kleinkopf, Felicitas Lea
Formatua: Online
Hizkuntza:alemana
Argitaratua: Nomos Verlagsgesellschaft mbH & Co. KG 2022
Gaiak:
Sarrera elektronikoa:https://directory.doabooks.org/handle/20.500.12854/93507
Etiketak: Etiketa erantsi
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Deskribapena
Gaia:Digital methods such as text and data mining are utilised more and more frequently to gather knowledge, thereby offering the ability to recognise patterns in large data sets as well as being the basis of machine learning. This work examines this digital method from a copyright perspective, evaluating the significance and controlling effect of copyright barriers, the special interests involved in scientific copyright law and elements of interdisciplinary knowledge. This comprehensive analysis structures this complex legal matter, identifies deficits and suggests viable solutions. One focus lies on the long-term accessibility of the research data that are generated within this process.