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While most activity recognition systems rely on data-driven approaches, the use of knowledge-driven techniques is gaining increasing interest. Research in this field has mainly concentrated on the use of ontologies to specify the semantics of activities, and ontological reasoning to recognize them based on context information. However, at the time of writing, the experimental evaluation of these techniques...
The anonymization of location based queries through the generalization of spatio-temporal information has been proposed as a privacy preserving technique. We show that the presence of multiple concurrent requests, the repetition of similar requests by the same issuers, and the distribution of different service parameters in the requests can significantly affect the level of privacy obtained by current...
Techniques for activity recognition are fundamental components of any context-aware system. Indeed, precise knowledge of the user's current activity is necessary in order to thoroughly tailor services to the user's context. To this aim, in the last years many research efforts have been devoted to devise statistical techniques for recognizing basic physical activities based on data retrieved from body-...
This paper presents preliminary results on anonymization and obfuscation techniques to preserve users' privacy in context-aware service provisioning. The techniques are based on generalizing request parameters as well as the context data provided to the application. Local context semantic aggregation is used to improve the quality of service that can be achieved while preserving privacy. The paper...
The large scale adoption of adaptive services in pervasive and mobile computing is likely to be conditioned to the availability of reliable privacy-preserving technologies. Unfortunately, the research in this field can still be considered in its infancy. This paper considers a specific pervasive computing scenario, and shows that the application of state-of-the-art techniques for the anonymization...
Due to the widespread availability of accurate localization technologies, navigation systems are more and more present on mobile devices. These applications usually provide facilities for managing and searching points of interest. However, currently available navigation software does not support sharing of points of interest, and the search facilities are quite primitive, being exclusively based on...
The pervasive and mobile computing scenario is characterized by the heterogeneity of devices used to access services, and by frequent changes in the user's context. This paper presents the integration of two existing frameworks into a context-aware content provisioning system oriented to mobile users. External Web contents can be automatically tailored according to a wide range of context data, including...
This paper reports our experience with representing and reasoning with context information within the CARE middleware. CARE was developed to support context-aware service adaptation for mobile users. Expressiveness and computational issues are discussed and the specific solution adopted in CARE is presented
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