A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
A new cluster validity index for the fuzzy c-mean
Pattern Recognition Letters
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Introduction: personalized views of personalization
Communications of the ACM
Fuzzy Sets and Systems - Special issue on clustering and learning
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Cognitive Fuzzy Modeling for Enhanced Risk Assessment in a Health Care Institution
IEEE Intelligent Systems
CAPEUS: An Architecture for Context-Aware Selection and Execution of Services
Proceedings of the IFIP TC6 / WG6.1 Third International Working Conference on New Developments in Distributed Applications and Interoperable Systems
Fuzzy Logic in Clinical Practice Decision Support Systems
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 5 - Volume 5
Semantic Space: An Infrastructure for Smart Spaces
IEEE Pervasive Computing
Physical Prototyping with Smart-Its
IEEE Pervasive Computing
SLP-based service management for dynamic ad-hoc networks
MPAC '05 Proceedings of the 3rd international workshop on Middleware for pervasive and ad-hoc computing
Efficient Context-aware Service Discovery in Multi-Protocol Pervasive Environments
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Comparison of different strategies of utilizing fuzzy clustering in structure identification
Information Sciences: an International Journal
Human-Computer Interaction
An infrastructure approach to context-aware computing
Human-Computer Interaction
A System Architecture for Context-Aware Service Discovery
Electronic Notes in Theoretical Computer Science (ENTCS)
Similarity measures in fuzzy rule base simplification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Combined numerical and linguistic knowledge representation and its application to medical diagnosis
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
TV3P: an adaptive assistant for personalized TV
IEEE Transactions on Consumer Electronics
A survey of fuzzy logic monitoring and control utilisation in medicine
Artificial Intelligence in Medicine
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
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Context-awareness computing is a research field which often refers to healthcare as an interesting and rich area of application. Context aware computing attains environments monitoring by means of sensors to provide relevant information or services according to the identified context. In particular, wireless ad hoc sensor networks for medical purposes are playing an increasing role within healthcare. Body Sensor Networks (BSN) are being designed for prophylactic and follow-up monitoring of patients in e.g. their homes, during hospitalization, and in emergencies. This work presents an integrated environment aimed at providing personalized healthcare services which appropriately meet the user@?s context. Deploying the semantics embedded in web services and context models is a mandatory step in the automation of service discovery, invocation and composition. Nevertheless, in a context aware domain purely logic-based reasoning on respectively context and services may not be enough. The main idea of this work is related to enrich with qualitative representation of context underling data by means of Fuzzy Logic in order to automatically recognize the context and to consequently find the right set of healthcare services among the available ones. Semantic formalisms (e.g., OWL, OWL-S, etc.) enable the context and services modeling in terms of domain ontology concepts. On the other hand, soft computing techniques support activity of unsupervised context analysis and healthcare semantic service discovery. Goal is to define context-aware system whose quality of retrieved services relies on the acquisition of user context by means of a robust theoretical approach. Moreover, this work defines hybrid architecture which attains a synergy between the agent-based paradigm and the fuzzy modeling. Specifically, the system exploits some task oriented agents in order to achieve context recognition, services matchmaking and brokerage activities.