Situation Inference for Mobile Users: A Rule Based Approach

Mobile phones are being increasingly equipped with sensors that ease retrieval of context information about a user. Context data can be aggregated with information centrally available to mobile operators and service providers, to infer higher-level information such as user "situations", ea...

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Bibliographic Details
Main Authors: Goix, L.-W., Valla, M., Cerami, L., Falcarin, P.
Format: Conference Proceeding
Language:English
Subjects:
Aggregates
Calendars
Context-aware services
History
Information retrieval
Information technology
Mobile handsets
Monitoring
Network servers
Telecommunications
Online Access:Request full text
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Summary:Mobile phones are being increasingly equipped with sensors that ease retrieval of context information about a user. Context data can be aggregated with information centrally available to mobile operators and service providers, to infer higher-level information such as user "situations", easier to integrate with services. We have been conducting an internal trial monitoring the context of different users in their business life and designing rules to infer high level situations: logical location, activity and social state. In this paper we present the infrastructure and the rule-based reasoning process used for this experiment.
ISSN:1551-6245
2375-0324
DOI:10.1109/MDM.2007.63