HEAL DSpace

An ontology for the multi-perspective evaluation of quality in e-Government services

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dc.contributor.author Magoutas, B en
dc.contributor.author Halaris, C en
dc.contributor.author Mentzas, G en
dc.date.accessioned 2014-03-01T02:44:27Z
dc.date.available 2014-03-01T02:44:27Z
dc.date.issued 2007 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31830
dc.subject.other Electronic commerce en
dc.subject.other Knowledge acquisition en
dc.subject.other Public policy en
dc.subject.other Quality of service en
dc.subject.other Adaptive evaluation en
dc.subject.other e-Government services en
dc.subject.other Ontology en
dc.title An ontology for the multi-perspective evaluation of quality in e-Government services en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-540-74444-3_27 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-540-74444-3_27 en
heal.publicationDate 2007 en
heal.abstract This paper presents a quality ontology that formalizes all the needed knowledge for the realization of a multi-perspective and adaptive evaluation of e-government services. Different perspectives are taken into account and the mappings between them are defined using the presented ontology, enabling a comprehensive and holistic view of quality. Based on the quality ontology presented, the evaluation can be organized in a way to serve every citizen individually, increasing the efficiency of e-government services' evaluation. The quality ontology can form the basis for the future construction of an ontology-based system which implements the customized and multi-perspective assessment of public e-services. © Springer-Verlag Berlin Heidelberg 2007. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-540-74444-3_27 en
dc.identifier.volume 4656 LNCS en
dc.identifier.spage 318 en
dc.identifier.epage 329 en


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