The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Personal and Ubiquitous Computing
Description logic programs: combining logic programs with description logic
WWW '03 Proceedings of the 12th international conference on World Wide Web
Location-Detection Strategies in Pervasive Computing Environments
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Location-Based E-Campus Web Services: From Design to Deployment
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
People, places, things: Web presence for the real world
WMCSA '00 Proceedings of the Third IEEE Workshop on Mobile Computing Systems and Applications (WMCSA'00)
Intelligent Agents Meet Semantic Web in a Smart Meeting Room
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
A middleware architecture for safety critical ambient intelligence applications
ruSMART/NEW2AN'10 Proceedings of the Third conference on Smart Spaces and next generation wired, and 10th international conference on Wireless networking
A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection
Expert Systems with Applications: An International Journal
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This paper presents semantic models, mechanisms and a service to locate mobile entities in Smart and Intelligent Environments. The key feature of the service is the semantic integration of different positioning systems that not only enables the environment to handle transparently such physical positioning systems, but also to reason on location information coming from different systems and to combine it to obtain higher context information. Indeed, the service relies on the use of ontologies and rules to define a uniform, unambiguous and well-defined model for the location information, independently of the particular positioning system. Moreover, the location service performs logic and reasoning mechanisms to provide both physical and semantic locations of mobile objects and to infer the finest granularity in the case when a mobile object is located by more than one positioning system. Finally, we present an application of the proposed approach to the case of a Smart Hospital.