Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Extracting places from traces of locations
Proceedings of the 2nd ACM international workshop on Wireless mobile applications and services on WLAN hotspots
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
PEPYS: generating autobiographies by automatic tracking
ECSCW'91 Proceedings of the second conference on European Conference on Computer-Supported Cooperative Work
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
A Simple Model and Infrastructure for Context-Aware Browsing of the World
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
Nomatic: location by, for, and of crowds
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
An unsupervised learning paradigm for peer-to-peer labeling and naming of locations and contexts
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Building common ground for face to face interactions by sharing mobile device context
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Learning and recognizing the places we go
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Lo-Fi matchmaking: a study of social pairing for backpackers
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Tuple space coordination across space and time
COORDINATION'06 Proceedings of the 8th international conference on Coordination Models and Languages
Introduction to the special issue on M-services
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Supporting location-aware services for mobile users with the whereabouts diary
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
Exploiting indoor location and mobile information for context-awareness service
Information Processing and Management: an International Journal
An integrated scheme based on service classification in pervasive mobile services
International Journal of Communication Systems
Applying Commonsense Reasoning to Place Identification
International Journal of Handheld Computing Research
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The user profile is one of the main context-information in a wide range of pervasive computing applications. Modern handheld devices provided with localization capabilities could automatically create a diary of user's whereabouts and use that information as a surrogate (or a complement) of the user profile. The places we go, in fact, reveal also something about us, for example, two persons can be matched as compatible given the fact they visit the same places. Web-retrieved information, and the temporal patterns with which different places are visited, can be used to automatically define meaningful semantic labels to the visited places. In our work we used geocoding and whitepages Web-services to extract information about a place, and Bayesian networks to classify places on the basis of the time in which they have been visited. In this paper we describe the general idea at the basis of the whereabouts diary, discuss our implementation, and present experimental results. Finally, several applications that can exploit the diary are illustrated.