| 摘要 |
Computer-based tools and methods for conversion of data from a first form to a second form without reference to the context of data to be converted. The conversion may be facilitated by matching source data with external information (e.g., public and/or private schema) that contain rules (e.g., context specific rules) for conversion of the data. The matching may be performed based on an optimized index string matching technique that may be operable to match source data to external information that is context dependent without specific identification of the context of either the source data or the external information identified. Accordingly, the conversion of data may be performed in an unsupervised machine learning environment. |
