User modeling for pedestrian navigation services
Abstract
Human-centered and user-adaptive systems are at the heart of the Design for All and Ambient Intelligence concepts. Evidently, user models are necessary "ingredients" of such systems. We present a user model for navigation systems (mainly pedestrian), which is based on relevant human wayfinding and navigation theories. We represent this model through a Semantic Web ontology and show how it can be incorporated in an indoor navigation system called MNISIKLIS, which enables personalized path selection. Moreover, we propose a method for learning rules for the classification of users based on Inductive Logic Programming. © 2009 Springer-Verlag Berlin Heidelberg- other
- Location based services
- Ontologies
- Personalization
- User model
- Ambient intelligence
- Design for all
- Indoor navigation system
- Inductive Logic Programming
- Learning rules
- Path selection
- Pedestrian navigation
- Personalizations
- Semantic Web ontologies
- User Modeling
- User models
- User-adaptive systems
- Way-finding
- Adaptive systems
- Logic programming
- Mobile devices
- Navigation
- Navigation systems
- Semantic Web
- Ontology
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Last time updated on 07/12/2017
This paper was published in University of Thessaly Institutional Repository.
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