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Linked Enterprise Data

Jezik NjemačkiNjemački
Knjiga Tvrdi uvez
Knjiga Linked Enterprise Data Tassilo Pellegrini
Libristo kod: 01661188
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, studeni 2014
Die Herausgeber und Autoren führen praxisnah in neue Methoden und Technologien des (Meta-)Daten-Mana... Cijeli opis
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Die Herausgeber und Autoren führen praxisnah in neue Methoden und Technologien des (Meta-)Daten-Managements für die Vernetzung und Integration verteilter, heterogener Datenbestände ein. Dabei werden die neuen Technologien und Methoden von bereits etablierten Ansätzen deutlich abgegrenzt, ihre Potenziale und auch ihre Grenzen klar benannt. Vor allem Semantic-Web-Technologien, deren betrieblicher Einsatz anhand anschaulicher Fallstudien erläutert wird, spielen eine zentrale Rolle.

Informacije o knjizi

Puni naziv Linked Enterprise Data
Autor Tassilo Pellegrini, Harald Sack, Andreas Blumauer
Jezik Njemački
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2014
Broj stranica 295
EAN 9783642302732
ISBN 3642302734
Libristo kod 01661188
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 689
Dimenzije 170 x 244 x 19

Kategorija

Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management of specific areas > Production & quality control management
Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management of specific areas > Research & development management
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Society & Social Sciences > Politics & government > Public administration
Economics, Finance, Business & Management > Economics > Economics of industrial organization
Mathematics & Science > Science: general issues > Industrial applications of scientific research & technological innovation
Computing & Information Technology > Databases > Data capture & analysis
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
Economics, Finance, Business & Management > Industry & industrial studies
Computing & Information Technology > Information technology: general issues
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