| 摘要 |
The inventive subject matter provides apparatus, systems, and methods that improve on the pace of discovering new practical information based on large amounts of datasets collected. In most cases, anomalies from the datasets are automatically identified, flagged, and validated by a cross-validation engine. Only validated anomalies are then associated with a subject matter expert who is qualified to take action on the anomaly. In other words, the inventive subject matter bridges the gap between the overwhelming amount of scientific data which can now be harvested and the comparatively limited amount analytical resources available to extract practical information from the data. Practical information can be in the form of trends, patterns, maps, hypotheses, or predictions, for example, and such practical information has implications in medicine, in environmental sciences, entertainment, travel, shopping, social interactions, or other areas. |
| 主权项 |
1. A discovery routing system comprising:
a knowledge database configured to store a plurality of datasets, each dataset comprising at least one descriptor-value pair having a descriptor and an associated value; an analytical engine coupled with the knowledge database, and configured to identify at least one anomaly in the plurality of datasets, wherein the anomaly characterizes a descriptor-value pair having a value that deviates from a qualifier associated with the descriptor beyond a predetermined threshold value for the descriptor; a cross-validation engine coupled with the analytical engine and configured to designate the at least one anomaly as a significant anomaly by cross-referencing additional data in the dataset; and a subscription engine coupled with the cross-validation engine and configured to (i) subscribe a plurality of expert subscribers, wherein each expert subscriber is associated with an identifier, and (ii) associate the significant anomaly with an expert subscriber based on the identifier. |
