TY - JOUR
TI - User modeling for pedestrian navigation services
AU - Kikiras, P.
AU - Tsetsos, V.
AU - Papataxiarhis, V.
AU - Katsikas, T.
AU - Hadjiefthymiades, S.
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PY - 2009
VL - 5830 LNCS
TODO - null
SP - 111-133
PB - 
SN - null
TODO - 10.1007/978-3-642-05039-8_7
TODO - Ambient intelligence;  Design for all;  Indoor navigation system;  Inductive Logic Programming;  Learning rules;  Location based services;  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
TODO - 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.
ER -