We have developed a semantic data validation tool that is capable of observing incoming realtime sensor data and performing reasoning against a set of rules specific to the scientific domain to which the data belongs. Our software solution can produce a variety of different outcomes when a data anomaly or unexpected event is detected, ranging from simple flagging of data points, to data augmentation, to validation of proposed hypotheses that could explain the phenomenon. Hosted on the Jena Semantic Web Framework, the tool is completely domain-agnostic and is made domainaware by reference to an ontology and Knowledge Base (KB) that together describe the key resources of the system being observed.
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