dc.creator | Kikiras, P. | en |
dc.creator | Tsetsos, V. | en |
dc.creator | Papataxiarhis, V. | en |
dc.creator | Katsikas, T. | en |
dc.creator | Hadjiefthymiades, S. | en |
dc.date.accessioned | 2015-11-23T10:34:48Z | |
dc.date.available | 2015-11-23T10:34:48Z | |
dc.date.issued | 2009 | |
dc.identifier | 10.1007/978-3-642-05039-8_7 | |
dc.identifier.isbn | 3642050387 | |
dc.identifier.issn | 3029743 | |
dc.identifier.uri | http://hdl.handle.net/11615/29414 | |
dc.description.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. | en |
dc.source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-71549161486&partnerID=40&md5=485e7cea12d9ccb960d5d672920d439d | |
dc.subject | Location based services | en |
dc.subject | Ontologies | en |
dc.subject | Personalization | en |
dc.subject | User model | en |
dc.subject | Ambient intelligence | en |
dc.subject | Design for all | en |
dc.subject | Indoor navigation system | en |
dc.subject | Inductive Logic Programming | en |
dc.subject | Learning rules | en |
dc.subject | Path selection | en |
dc.subject | Pedestrian navigation | en |
dc.subject | Personalizations | en |
dc.subject | Semantic Web ontologies | en |
dc.subject | User Modeling | en |
dc.subject | User models | en |
dc.subject | User-adaptive systems | en |
dc.subject | Way-finding | en |
dc.subject | Adaptive systems | en |
dc.subject | Logic programming | en |
dc.subject | Mobile devices | en |
dc.subject | Navigation | en |
dc.subject | Navigation systems | en |
dc.subject | Semantic Web | en |
dc.subject | Ontology | en |
dc.title | User modeling for pedestrian navigation services | en |
dc.type | other | en |