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Semantic Knowledge Modelling Via Open Linked Ontologies: Ontologies in E-Governance

ISBN-13: 9783031205842 / Angielski / Twarda / 2023 / 372 str.

Stamatios Theocharis; George A. Tsihrintzis
Semantic Knowledge Modelling Via Open Linked Ontologies: Ontologies in E-Governance Theocharis, Stamatios 9783031205842 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Semantic Knowledge Modelling Via Open Linked Ontologies: Ontologies in E-Governance

ISBN-13: 9783031205842 / Angielski / Twarda / 2023 / 372 str.

Stamatios Theocharis; George A. Tsihrintzis
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Evolving technological advances inArtificial Intelligence-empowered Softwarepresent significant potential to leade-Governmenttowards more collective efforts, exchange of experiences on best practices both at national and international levels and dissemination of secluded administrative knowledge. In this book, novelsemantic web-basedandlinked open data-basedapproaches 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.

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.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Engineering (General)
Computers > Artificial Intelligence - General
Computers > Software Development & Engineering - General
Wydawca:
Springer
Seria wydawnicza:
Artificial Intelligence-Enhanced Software and Systems Engine
Język:
Angielski
ISBN-13:
9783031205842
Rok wydania:
2023
Dostępne języki:
Numer serii:
001272145
Ilość stron:
372
Oprawa:
Twarda

Introduction.- e-Government: The concept, the environment & critical issues for the Back-Office systems.- Semantic Web: The evolution of the Web & the opportunities for the e-Government.- Representation and knowledge management for the benefit of e-Government - Opportunities through the tools of the Semantic Web.- Towards Open Data and Open Governance – Representation of knowledge and Triplification of data in the field of the Greek Open Government Data.- Production and publication of linked open data: The case of open ontologies.- Education and E-Government - The case of a Moodle based platform for the education and evaluation of civil servants.- Conclusions – Future Work.

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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