System and method for data management

A system and method for data management are disclosed herein. The method includes obtaining, by a processing unit, a data set from a data source (110). The data set includes a plurality of data points, and each data point belongs to a column of a plurality of columns. In addition, a machine learning model is used to predict ontology tags for at least one column in the data set. The predicted ontology tag is associated with an ontology that includes a plurality of ontology tags. Further, a mapping between the data set and the ontology is generated based on the predicted relationship between the ontology tag and the column. Further, the data points are classified relative to the ontology tags based on the generated mapping. The classified data set is output on a user interface (185). 本文公开了一种用于数据管理的系统和方法。该方法包括由处理单元从数据源(110)获得数据集。数据集包括多个数据点，并且每个数据点属于多个列中的列。此外，使用机器学习模型来预测数据集中的至少一列的本体标签。预测的本体标签与包括多个本体标签的本体相关联。此外，基于预测的本体标签和列之间的关系，生成数据集和本体之间的映射。此外，基于所生成的映射，相对于本体标签对数据点进行分类。经分类的数据集在用户界面(185)上输出。