A Probabilistic Active Knowledge Base Architecture for Observational Data Sources
نویسنده
چکیده
We will develop a probabilistic active knowledge base system for observational data. It is intended to provide decision support for users utilising the data sources which exhibit the characteristics as described in our motivating example. The system will be active because when applicable, it will take advantage of the programmability of sensor networks to actively manage the data sources. It will be probabilistic because it will provide users with the capabilities to create queries, detect event patterns and perform in-network programming based on probabilistic models.
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