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Identifier 000337144
Title A semantic-based user model for the support of personalized, context-aware navigational services
Alternative Title Σχεδιασμός και Υλοποίηση Σημασιολογικών Μοντέλων σε Εφαρμογή Διάχυτης Νοημοσύνης
Author Μίχου, Μαρία Νικόλαος
Thesis advisor Αντωνίου, Γρηγόρης
Abstract The Ambient Intelligence paradigm has evolved significantly during the last few years and aims at developing context-aware and adaptive systems that enable people to use personalized, semantics enriched services. A context-aware infrastructure requires an appropriate context model to perceive, represent, manipulate, share and access context information. The deployment and implementation of a context-aware environment aims at providing "the right information to the right participant in the right context". Lately, context modeling is commonly employed to enhance usability as well as to support personalization, adaptivity and other user-centric features. The process of context modeling that defines the basic concepts and formalities, on which the implementation of a system is based, constitutes a sufficiently researched domain and has resulted in a number of different categories of models, with semantic-based ones attracting most attention.
In this thesis, we describe an ontology-based user model that captures and formally describes profile and context information, and enables rule-based reasoning on the available data to support personalized context-aware navigation services. We also describe how the proposed model is used as a basic building block for the development of a contextual guide for users in indoor environments, C-NGINE [1] (Contextual Navigation Guide for INdoor Environments). C-NGINE’s interface will enable the deployment and support of services, such as personalized navigation, route visualization, user tracking, dynamic path-replanning according to a user’s deviation, the creation of dynamic user groups according to users’ dimensions, customization of privacy preferences and automatic events and note publication to interested parties.
Physical description xix, 92 σ. : εικ. ; 30 cm.
Language English
Issue date 2008-12-04
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/e/d/5/metadata-dlib-266a47f153e8a12a10212e2ea2dd06c7_1249135297.tkl Bookmark and Share
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