Intentional-based similarity measures

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Table of contents

Abstract
Introduction
Emerging eco-system
Difficulties in enabling the use of smart spaces
Contributions
Outline of the thesis
1 Preliminaries
1.1 Background
1.2 Notations and Definitions
2 Related Works
2.1 Models for smart environments
2.2 Searching through semantic similarity measures
3 Defining models to support mobile users
3.1 Rationale in using Semantic Web technologies
3.2 Modelling connected devices
3.3 Modelling the location associated to smart environments
3.4 Semantic models for application templates
3.5 Representing user profiles
3.6 Conclusions
4 Towards producing efficient searching procedures
4.1 Preamble
4.2 A semantic similarity measure for SHOIQ concepts
4.3 Example of application
4.4 Conclusions
5 Distributing knowledge amongst smart environments
5.1 Preamble
5.2 Federated architecture of nodes
5.3 Sharing knowledge between federated nodes
5.4 Conclusions
6 Experimentations
6.1 Implementations
6.2 Experimentations
6.3 Conclusions
Conclusions
Summary of contributions
Perspectives
A Subsumption relations in SHOIQ
B Algorithms generating pseudo-concepts
Bibliography