Semantic Knowledge Modelling via Open Linked Ontologies

Ontologies in E-Governance de

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Description

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.

Pages
372 pages
Collection
Artificial Intelligence-Enhanced Software and Systems Engineering
Parution
2023-01-05
Marque
Springer
EAN papier
9783031205842
EAN PDF
9783031205859

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
18821 Ko
Prix
158,24 €
EAN EPUB
9783031205859

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
127980 Ko
Prix
158,24 €