TU Darmstadt / ULB / TUbiblio

Adapting Web Pages Using Graph Partitioning Algorithms for User-Centric Multi-Device Web Browsing

Huber, Jochen ; Ding, Yun (2012)
Adapting Web Pages Using Graph Partitioning Algorithms for User-Centric Multi-Device Web Browsing.
In: Springer Multimedia Tools and Applications, 51 (3)
doi: 10.1007/s11042-011-0980-1
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

In the era of ubiquitous computing, applications are emerging to benefit from using devices of different users and different capabilities together. This paper focuses on user-centric web browsing using multiple devices, where content of a web page is partitioned, adapted and allocated to devices in the vicinity. We contribute two novel web page partitioning algorithms. They differ from existing approaches by allowing for both, automatic and semi-automatic partitioning. On the one hand, this provides good automatic, web page independent results by utilizing sophisticated structural pre- and postprocessing of the web page. On the other hand, these results can be improved by considering additional semantic information provided through user-generated web page annotations. We further present a performance evaluation of our algorithms. Moreover, we contribute the results of a user study. These clearly show that (1) our algorithms provide good automatic results and (2) the application of user-centric, annotation-based semantic information leads to a significantly higher user satisfaction.

Typ des Eintrags: Artikel
Erschienen: 2012
Autor(en): Huber, Jochen ; Ding, Yun
Art des Eintrags: Bibliographie
Titel: Adapting Web Pages Using Graph Partitioning Algorithms for User-Centric Multi-Device Web Browsing
Sprache: Deutsch
Publikationsjahr: Februar 2012
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Springer Multimedia Tools and Applications
Jahrgang/Volume einer Zeitschrift: 51
(Heft-)Nummer: 3
DOI: 10.1007/s11042-011-0980-1
Kurzbeschreibung (Abstract):

In the era of ubiquitous computing, applications are emerging to benefit from using devices of different users and different capabilities together. This paper focuses on user-centric web browsing using multiple devices, where content of a web page is partitioned, adapted and allocated to devices in the vicinity. We contribute two novel web page partitioning algorithms. They differ from existing approaches by allowing for both, automatic and semi-automatic partitioning. On the one hand, this provides good automatic, web page independent results by utilizing sophisticated structural pre- and postprocessing of the web page. On the other hand, these results can be improved by considering additional semantic information provided through user-generated web page annotations. We further present a performance evaluation of our algorithms. Moreover, we contribute the results of a user study. These clearly show that (1) our algorithms provide good automatic results and (2) the application of user-centric, annotation-based semantic information leads to a significantly higher user satisfaction.

Freie Schlagworte: - TI: Mobile Multimedia Interaction;Computer Vision
ID-Nummer: TUD-CS-2012-0010
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik > Telekooperation
20 Fachbereich Informatik > Modellierung und Analyse von Informationssystemen (MAIS)
20 Fachbereich Informatik
Hinterlegungsdatum: 31 Dez 2016 12:59
Letzte Änderung: 15 Mai 2018 12:01
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen