LEADER 03656nam 2200505 450 001 9910640385403321 005 20230505110549.0 010 $a3-031-20585-5 024 7 $a10.1007/978-3-031-20585-9 035 $a(MiAaPQ)EBC7171899 035 $a(Au-PeEL)EBL7171899 035 $a(CKB)25952279400041 035 $a(DE-He213)978-3-031-20585-9 035 $a(PPN)267810474 035 $a(EXLCZ)9925952279400041 100 $a20230505d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSemantic knowledge modelling via open linked ontologies $eontologies in e-governance /$fStamatios Theocharis and George A. Tsihrintzis 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (381 pages) 225 1 $aArtificial Intelligence-Enhanced Software and Systems Engineering,$x2731-6033 ;$v4 311 08$aPrint version: Theocharis, Stamatios Semantic Knowledge Modelling Via Open Linked Ontologies Cham : Springer International Publishing AG,c2023 9783031205842 327 $aIntroduction -- 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. 330 $aEvolving technological advances in Artificial Intelligence-empowered Software present significant potential to lead e-Government towards more collective efforts, exchange of experiences on best practices both at national and international levels and dissemination of secluded administrative knowledge. In this book, novel semantic web-based and linked open data-based approaches are developed for the modelling and management of the huge volume of administrative data and the procedures followed by public sector bodies and for the production and management of relevant administrative knowledge. The book consists of eight chapters, each of which includes relevant bibliographic references for deeper probing. Appendices complement this work with sections of configuration files of the applications developed and used. Professors, researchers, scientists, engineers and students in artificial intelligence, e-government and other computer science-related disciplines are expected to benefit greatly from it, along with non-specialist readers from other disciplines who are interested in getting versed in the recent developments in e-government. 410 0$aArtificial Intelligence-Enhanced Software and Systems Engineering,$x2731-6033 ;$v4 606 $aDeep learning (Machine learning) 606 $aInternet in public administration 615 0$aDeep learning (Machine learning) 615 0$aInternet in public administration. 676 $a006.31 700 $aTheocharis$b Stamatios$01354434 702 $aTsihrintzis$b George A. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910640385403321 996 $aSemantic knowledge modelling via open linked ontologies$93364350 997 $aUNINA