Techniques for similarity analysis and data enrichment using knowledge sources

• Main Authors: MURRAY GLENN ALLEN, MALAK MICHAEL, STOJANOVIC ALEXANDER SASHA, KREIDER MARK
• Format: Patent
• Language: Chinese; English
• Published: 17.05.2017
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user. 本公开内容涉及利用知识源来执行相似性度量分析和数据丰富化。数据丰富化服务能够将输入数据集与存储在知识源中的参考数据集进行比较，以识别近似相关的数据。能够计算与两个或更多个数据集的语义相似性对应的相似性度量。相似性度量能够被用