Contextually blind data conversion using indexed string matching

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.

主权项

1. A method for use in operating a computer-based tool for converting data from a first form to a second form, comprising:
identifying, using the computer-based tool, a set of data to be converted from the first form to the second form, wherein the set of data is contextually indeterminate; accessing, using the computer-based tool, a plurality of schema that each include one or more conversion rules for converting data within a particular context of the data, wherein the one or more conversion rules are at least partially based on the particular context; comparing, using the computer-based tool, the set of data to at least a portion of the plurality of schema using indexed string matching that is performed independently of the context of the set of data and the plurality of schema; selecting, using the computer-based tool, a selected schema from the plurality of schema based at least partially on the comparing; and applying the one or more conversion rules of the selected schema to the set of data to convert the set of data from the first form to the second form.