Semantic Knowledge Modelling via Open Linked Ontologies

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171,19 

Ontologies in E-Governance, Artificial Intelligence-Enhanced Software and Systems Engineering 4

ISBN: 3031205847
ISBN 13: 9783031205842
Autor: Theocharis, Stamatios/Tsihrintzis, George A
Verlag: Springer Verlag GmbH
Umfang: xiii, 372 S., 23 s/w Illustr., 191 farbige Illustr., 372 p. 214 illus., 191 illus. in color.
Erscheinungsdatum: 06.01.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

Presents applications and tools of the semantic web in knowledge management in e-government environmentHighlights solutions offered by the semantic web in the management of a huge volume of dataAddresses the most recent advances in Deep Learning Theory and Applications

Artikelnummer: 7137893 Kategorie:

Beschreibung

Evolving technological advances in Artificial Intelligence-empowered Software present significant potential to lead e-Government towards more collective efforts, exchange of experiences on best practices both at national and international levels and dissemination of secluded administrative knowledge. In this book, novel semantic web-based and linked open data-based approaches are developed for the modelling and management of the huge volume of administrative data and the procedures followed by public sector bodies and for the production and management of relevant administrative knowledge. The book consists of eight chapters, each of which includes relevant bibliographic references for deeper probing. Appendices complement this work with sections of configuration files of the applications developed and used. Professors, researchers, scientists, engineers and students in artificial intelligence, e-government and other computer science-related disciplines are expected to benefit greatly from it, along with non-specialist readers from other disciplines who are interested in getting versed in the recent developments in e-government.

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E-Mail: juergen.hartmann@springer.com

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