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Multiple Vehicles for a Semantic Navigation Across Hyper-environments

  • Irene Celino
  • Emanuele Della Valle
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3532)

Abstract

The Web, but also for example a large extra-net such as a digital library, has an intricate topology that makes navigation through resources a tricky task. The mere introduction of Semantic Web technologies won’t automatically solve this task, because the Semantic Web only promotes machine understandability of Web resources by explicitly providing a thick bunch of annotations, thus leaving their interpretation and use to the application. In this paper, we refer to such difficult-to-navigate open information systems as hyper-environments and we compare the interaction with a hyper-environment to a journey in which users are travelers and the aim of the journey is to find useful information.

We therefore propose a Semantic Navigation Engine that aims at helping Web travelers in traversing hyper-environments by giving them proper tools (called vehicles in the travel metaphor) that can help them in getting oriented and fulfilling their aims.

Keywords

Semantic Annotation Access Model Navigation Problem Multiple Vehicle Navigation Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Irene Celino
    • 1
  • Emanuele Della Valle
    • 1
  1. 1.CEFRIELPolitecnico of MilanoMilanoItaly

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