Adaptive evaluation of portal quality: An eGovernment case

Magoutas, B; Mentzas, G

dc.contributor.author	Magoutas, B	en
dc.contributor.author	Mentzas, G	en
dc.date.accessioned	2014-03-01T02:45:56Z
dc.date.available	2014-03-01T02:45:56Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32469
dc.subject	Adaptive systems	en
dc.subject	E-Government	en
dc.subject	Ontology	en
dc.subject	Quality measurement	en
dc.subject.other	Adaptive evaluation	en
dc.subject.other	Adaptive quality	en
dc.subject.other	e-Government	en
dc.subject.other	E-Government portals	en
dc.subject.other	E-service quality	en
dc.subject.other	Knowledge-based approach	en
dc.subject.other	Quality aspects	en
dc.subject.other	Quality measurement	en
dc.subject.other	Quality measurements	en
dc.subject.other	Questionnaire systems	en
dc.subject.other	Real-time feedback	en
dc.subject.other	Subjective evaluations	en
dc.subject.other	Three axes	en
dc.subject.other	Value added	en
dc.subject.other	Adaptive systems	en
dc.subject.other	Computer peripheral equipment	en
dc.subject.other	Government data processing	en
dc.subject.other	Interfaces (computer)	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Metadata	en
dc.subject.other	Ontology	en
dc.subject.other	Surveys	en
dc.subject.other	Quality control	en
dc.title	Adaptive evaluation of portal quality: An eGovernment case	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PCI.2009.15	en
heal.identifier.secondary	5298201	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PCI.2009.15	en
heal.publicationDate	2009	en
heal.abstract	In this paper we describe a knowledge-based approach that enables the subjective evaluation of portal and e-service quality by users in an adaptive manner. The model for adaptive quality measurement (MAQM) comprises different ontologies including concepts regarding quality aspects, questions and questionnaires, portal characteristics and problems encountered by users while using the portal. A prototype adaptive questionnaire system (SALT) which uses the MAQM model is also described. The system applies three axes of adaptation: based on real-time feedback from users through questionnaires, based on problems encountered by the user and based on metadata of the pages visited by the user. The results of evaluating SALT, compared to a static questionnaire, in an Austrian e-Government portal, are indicative of the value added of our approach. © 2009 IEEE.	en
heal.journalName	PCI 2009 - 13th Panhellenic Conference on Informatics	en
dc.identifier.doi	10.1109/PCI.2009.15	en
dc.identifier.spage	136	en
dc.identifier.epage	140	en