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010   $a9783031205859
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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   $a20230105d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSemantic Knowledge Modelling via Open Linked Ontologies $eOntologies in E-Governance /$fby Stamatios Theocharis, George A. Tsihrintzis
205   $a1st ed. 2023.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023.
215   $a1 online resource (381 pages)
225 1 $aArtificial Intelligence-Enhanced Software and Systems Engineering,$x2731-6033 ;$v4
311 08$a9783031205842 
311 08$a3031205847 
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   $aComputational intelligence
606   $aArtificial intelligence
606   $aSoftware engineering
606   $aComputational Intelligence
606   $aArtificial Intelligence
606   $aSoftware Engineering
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aSoftware engineering.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aSoftware Engineering.
676   $a006.31
676   $a352.380285
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