The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Semantically Adaptive Interface for Measuring Portal Quality in E-Government
Abstract
This chapter introduces a semantically adaptive interface as a means of measuring the quality of egovernment portals, based on user feedback. The interface is semantic as it uses ontologies in order to formalize well defined semantics about the adaptation criteria used. Furthermore it is adaptive as three axes of adaptation are applied: based on real-time feedback from users, based on problems encountered by the user and based on metadata of the pages visited by the user. The authors hope that applying the proposed adaptive interface as a means of measuring e-government portals’ quality, will not only allow more focused and targeted assessment of quality, but will also increase users’ response rates.
Related Content
|
Rod D. Roscoe, Russell J. Branaghan, Nancy J. Cooke, Scotty D. Craig.
© 2018.
34 pages.
|
|
Steve Ritter, R. Charles Murray, Robert G. M. Hausmann.
© 2018.
17 pages.
|
|
Yvonne S. Kao, Bryan J. Matlen, Michelle Tiu, Linlin Li.
© 2018.
24 pages.
|
|
Melissa L. Stone, Kevin M. Kent, Rod D. Roscoe, Kathleen M. Corley, Laura K. Allen, Danielle S. McNamara.
© 2018.
23 pages.
|
|
Elizabeth R. Kazakoff, Melissa Orkin, Kristine Bundschuh, Rachel L. Schechter.
© 2018.
24 pages.
|
|
Irfan Kula, Russell J. Branaghan, Robert K. Atkinson, Rod D. Roscoe.
© 2018.
17 pages.
|
|
Erin Walker, Ruth Wylie, Andreea Danielescu, James P. Rodriguez III, Ed Finn.
© 2018.
19 pages.
|
|
|