Semantic Knowledge Modelling via Open Linked Ontologies: Ontologies in E-Governance - Artificial Intelligence-Enhanced Software and Systems Engineering - Stamatios Theocharis - Books - Springer International Publishing AG - 9783031205873 - January 7, 2024
In case cover and title do not match, the title is correct

Semantic Knowledge Modelling via Open Linked Ontologies: Ontologies in E-Governance - Artificial Intelligence-Enhanced Software and Systems Engineering 2023 edition

Price
HK$ 1,319
excl. VAT

Ordered from remote warehouse

Expected to be ready for shipping Jun 30 - Jul 6
Add to your iMusic wish list

Also available as:

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.


372 pages, 191 Illustrations, color; 23 Illustrations, black and white; XIII, 372 p. 214 illus., 191

Media Books     Paperback Book   (Book with soft cover and glued back)
Released January 7, 2024
ISBN13 9783031205873
Publishers Springer International Publishing AG
Pages 372
Dimensions 150 × 220 × 10 mm   ·   657 g
Language German  

Mere med samme udgiver