Ubiquitous web navigation through harvesting embedded semantic data: A mobile scenario

  • Authors:
  • Ahmet Soylu;Felix Mödritscher;Patrick De Causmaecker

  • Affiliations:
  • Department of Computer Science, ITEC-IBBT, CODeS, K.U. Leuven, Kortrijk, Belgium;Institute for Information Systems and New Media, Vienna University of Economics and Business, Vienna, Austria;Department of Computer Science, ITEC-IBBT, CODeS, K.U. Leuven, Kortrijk, Belgium

  • Venue:
  • Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we investigate how the Semantic Web can enhance web navigation and accessibility by following a hybrid approach of document-oriented and data-oriented considerations. Precisely, we propose a methodology for specifying, extracting, and presenting semantic data embedded in XHTML documents with RDFa in order to enable and improve ubiquitous web navigation and accessibility for end-users. In our context, embedded data does not only contain data type property annotations, but also object properties for interlinking, and embedded domain knowledge for enhanced content navigation through ontology reasoning. We provide a prototype implementation, called Semantic Web Component SWC and evaluate our methodology along a concrete scenario for mobile devices and with respect to precision, performance, network traffic, and usability. Evaluation results suggest that our approach decreases network traffic as well as the amount of information presented to a user without requiring significantly more processing time, and that it allows creating a satisfactory navigation experience.