Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Understanding and Using Context
Personal and Ubiquitous Computing
Content-Independent Task-Focused Recommendation
IEEE Internet Computing
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
Reasoning about Uncertain Contexts in Pervasive Computing Environments
IEEE Pervasive Computing
Communications of the ACM - The disappearing computer
A service-oriented middleware for building context-aware services
Journal of Network and Computer Applications
Service Adaptation Using Fuzzy Theory in Context-Aware Mobile Computing Middleware
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Uncertainty and the Semantic Web
IEEE Intelligent Systems
The IEEE FIPA approach to integrating software agents and web services
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A Rule-Based Approach Towards Context-Aware User Notification Services
PERSER '06 Proceedings of the 2006 ACS/IEEE International Conference on Pervasive Services
Situational reasoning for task-oriented mobile service recommendation
The Knowledge Engineering Review
Managing Context Information in Mobile Devices
IEEE Pervasive Computing
Enhancing Situation-Aware Systems through Imprecise Reasoning
IEEE Transactions on Mobile Computing
Reasoning about Context in Uncertain Pervasive Computing Environments
EuroSSC '08 Proceedings of the 3rd European Conference on Smart Sensing and Context
Vague-SWRL: A Fuzzy Extension of SWRL
RR '08 Proceedings of the 2nd International Conference on Web Reasoning and Rule Systems
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Engineering Applications of Artificial Intelligence
Advanced fuzzy inference engines in situation aware computing
Fuzzy Sets and Systems
Genetic algorithm based framework for mining fuzzy association rules
Fuzzy Sets and Systems
A survey of context modelling and reasoning techniques
Pervasive and Mobile Computing
Combining fuzzy logic and semantic web to enable situation-awareness in service recommendation
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
International Journal of Approximate Reasoning
A context-aware music recommendation system using fuzzy bayesian networks with utility theory
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
IEEE Transactions on Fuzzy Systems
Rule-based context assessment in smart cities
RR'12 Proceedings of the 6th international conference on Web Reasoning and Rule Systems
Hi-index | 12.05 |
Situation awareness is a powerful paradigm that can efficiently exploit the increasing capabilities of handheld devices, such as smart phones and PDAs. Indeed, accurate understanding of the current situation can allow the device to proactively provide information and propose services to users in mobility. Of course, to recognize the situation is a challenging task, due to such factors as the variety of possible situations, uncertain and imprecise data, and different user's preferences and behavior. In this framework, we propose a robust and general rule-based approach to manage situation awareness. We adopt Semantic Web reasoning, fuzzy logic modeling, and genetic algorithms to handle, respectively, situational/contextual inference, uncertain input processing, and adaptation to the user's behavior. We exploit an agent-oriented architecture so as to provide both functional and structural interoperability in an open environment. The system is evaluated by means of a real-world case study concerning resource recommendation. Experimental results show the effectiveness of the proposed approach.