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Titlebook: Semantic Knowledge Modelling via Open Linked Ontologies; Ontologies in E-Gove Stamatios Theocharis,George A. Tsihrintzis Book 2023 The Edit

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书目名称Semantic Knowledge Modelling via Open Linked Ontologies
副标题Ontologies in E-Gove
编辑Stamatios Theocharis,George A. Tsihrintzis
视频video
概述Presents applications and tools of the semantic web in knowledge management in e-government environment.Highlights solutions offered by the semantic web in the management of a huge volume of data.Addr
丛书名称Artificial Intelligence-Enhanced Software and Systems Engineering
图书封面Titlebook: Semantic Knowledge Modelling via Open Linked Ontologies; Ontologies in E-Gove Stamatios Theocharis,George A. Tsihrintzis Book 2023 The Edit
描述.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..
出版日期Book 2023
关键词Computational Intelligence; Deep Learning; Open ontologies; Ontology engineering; Linked Open Data; e-Gov
版次1
doihttps://doi.org/10.1007/978-3-031-20585-9
isbn_softcover978-3-031-20587-3
isbn_ebook978-3-031-20585-9Series ISSN 2731-6025 Series E-ISSN 2731-6033
issn_series 2731-6025
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Towards Open Data and Open Governance—Representation of Knowledge and Triplification of Data in the. In particular, the relationship between e-Government, Open Government and open data is presented, while the advantages and expectations of opening government data are presented and analysed. In this context, the Greek government data are examined as a case study, and in particular the perspectives
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Production and Publication of Linked Open Data: The Case of Open Ontologies,s. In particular, key themes, concepts and methodologies are examined as a theoretical infrastructure of the field of linked open data. It also examines the basic steps for publishing linked open data and the key technologies and tools used to produce and publish it. As a basic process in this conte
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,Conclusions—Future Work,ions of open data and linked open data in the fields of e-Government and Open Government, benefits and opportunities in these fields are presented. Conclusions are also drawn on the process and perspectives of publishing open ontologies in the form of linked open data.
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2731-6025 semantic web in the management of a huge volume of data.Addr.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 internatio
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Introduction,nd students in artificial intelligence, e-Government and other computer science-related disciplines are expected to benefit greatly from this book, 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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