國立高雄大學圖資館 |

Language: English

Back

Semantic knowledge modelling via open linked ontologiesontologies in e-governance /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Semantic knowledge modelling via open linked ontologiesby Stamatios Theocharis, George A. Tsihrintzis.
Reminder of title:	ontologies in e-governance /
Author:	Theocharis, Stamatios.
other author:	Tsihrintzis, George A.
Published:	Cham :Springer International Publishing :2023.
Description:	xiii, 372 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Internet in public administration.
Online resource:	https://doi.org/10.1007/978-3-031-20585-9
ISBN:	9783031205859$q(electronic bk.)

Semantic knowledge modelling via open linked ontologiesontologies in e-governance /
Theocharis, Stamatios.

Semantic knowledge modelling via open linked ontologiesontologies in e-governance /[electronic resource] :by Stamatios Theocharis, George A. Tsihrintzis. - Cham :Springer International Publishing :2023. - xiii, 372 p. :ill. (chiefly color), digital ;24 cm. - Artificial intelligence-enhanced software and systems engineering,v. 42731-6033 ;. - Artificial intelligence-enhanced software and systems engineering ;v. 2..

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.

ISBN: 9783031205859$q(electronic bk.)

Standard No.: 10.1007/978-3-031-20585-9doiSubjects--Topical Terms:

208018
Internet in public administration.

LC Class. No.: JF1525.A8

Dewey Class. No.: 352.3802854678

Semantic knowledge modelling via open linked ontologiesontologies in e-governance /
LDR:03007nmm a2200337 a 4500 001 640218
003 DE-He213
005 20230105180628.0
006 m d
007 cr nn 008maaau
008 231025s2023 sz s 0 eng d
020 $a 9783031205859$q(electronic bk.)
020 $a 9783031205842$q(paper)
024 7 $a 10.1007/978-3-031-20585-9 $2 doi
035 $a 978-3-031-20585-9
040 $a GP $c GP
041 0 $a eng
050 4 $a JF1525.A8
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 352.3802854678 $2 23
090 $a JF1525.A8 $b T386 2023
100 1 $a Theocharis, Stamatios. $3 946797
245 1 0 $a Semantic knowledge modelling via open linked ontologies $h [electronic resource] : $b ontologies in e-governance / $c by Stamatios Theocharis, George A. Tsihrintzis.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiii, 372 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Artificial intelligence-enhanced software and systems engineering, $x 2731-6033 ; $v v. 4
505 0 $a 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.
520 $a 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.
650 0 $a Internet in public administration. $3 208018
650 0 $a Semantic Web. $3 208252
650 0 $a Linked data. $3 683691
650 0 $a Deep learning (Machine learning) $3 913129
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Software Engineering. $3 274511
700 1 $a Tsihrintzis, George A. $3 284081
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Artificial intelligence-enhanced software and systems engineering ; $v v. 2. $3 933777
856 4 0 $u https://doi.org/10.1007/978-3-031-20585-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)