SALT: A semantic adaptive framework for monitoring citizen satisfaction from e-government services

Magoutas, B; Mentzas, G

dc.contributor.author	Magoutas, B	en
dc.contributor.author	Mentzas, G	en
dc.date.accessioned	2014-03-01T01:34:27Z
dc.date.available	2014-03-01T01:34:27Z
dc.date.issued	2010	en
dc.identifier.issn	0957-4174	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20743
dc.subject	Adaptive	en
dc.subject	E-government	en
dc.subject	Evaluation	en
dc.subject	Ontology	en
dc.subject	Personalization	en
dc.subject	Quality measurement	en
dc.subject	Semantic	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Adaptive	en
dc.subject.other	Adaptive framework	en
dc.subject.other	Added values	en
dc.subject.other	Comparative evaluations	en
dc.subject.other	e-Government	en
dc.subject.other	E-government services	en
dc.subject.other	Personalizations	en
dc.subject.other	Public administration	en
dc.subject.other	Quality measurements	en
dc.subject.other	Static approach	en
dc.subject.other	Three axes	en
dc.subject.other	Metadata	en
dc.subject.other	Monitoring	en
dc.subject.other	Ontology	en
dc.subject.other	Semantics	en
dc.subject.other	Government data processing	en
dc.title	SALT: A semantic adaptive framework for monitoring citizen satisfaction from e-government services	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.eswa.2009.11.071	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.eswa.2009.11.071	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	In this paper we present and evaluate an adaptive, semantic-based framework for monitoring citizen satisfaction from e-government services. The framework has been realized in a system (SALT) which captures the citizen behavior and applies three axes of adaptation: based on previously gathered data from the citizen through questionnaires, based on problems encountered by the citizen and based on metadata of the pages visited by the citizen. The comparative evaluation to a similar but static approach, gives evidence to our hypothesis that the proposed framework brings added value to both citizens and public administrations. (C) 2009 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Expert Systems with Applications	en
dc.identifier.doi	10.1016/j.eswa.2009.11.071	en
dc.identifier.isi	ISI:000276532600030	en
dc.identifier.volume	37	en
dc.identifier.issue	6	en
dc.identifier.spage	4292	en
dc.identifier.epage	4300	en