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公开(公告)号:US11675764B2
公开(公告)日:2023-06-13
申请号:US17072615
申请日:2020-10-16
Applicant: Salesforce.com, Inc.
Inventor: Zuye Zheng , Vaibhav Garg , Sumitkumar Kukkar , Timothy Noonan , Evan Tsao , Thushara Paul , Behzad Farhang Richey
IPC: G06F16/22 , G06F40/284 , G06F16/28 , G06F16/29 , G06F16/2455
CPC classification number: G06F16/2237 , G06F16/221 , G06F16/2282 , G06F16/24553 , G06F16/288 , G06F16/29
Abstract: Techniques described herein may support a learned ontology or meaning for user, organization, or customer specific data. According to the techniques described herein, a set of datasets corresponding to an entity may be processed to generate a master dataset including rows that include at least a field name and a value corresponding to the field. The master dataset is processed to generate a corpus of text strings that is input into a word embedding function which generates a set of vectors based on the corpus. Because the configuration of the text string positions values by field names and field values, implicit relationships and contexts are identified within the data using the word embedding function.
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公开(公告)号:US20220121636A1
公开(公告)日:2022-04-21
申请号:US17072615
申请日:2020-10-16
Applicant: salesforce.com, inc.
Inventor: Zuye Zheng , Vaibhav Garg , Sumitkumar Kukkar , Timothy Noonan , Evan Tsao , Thushara Paul , Behzad Farhang Richey
IPC: G06F16/22 , G06F16/2455 , G06F16/28 , G06F16/29 , G06F40/284
Abstract: Techniques described herein may support a learned ontology or meaning fhr user, organization, or customer specific data. According to the techniques described herein, a set of datasets corresponding to an entity may be processed to generate a master dataset including rows that include at least a field name and a value corresponding to the field. The master dataset is processed to generate a corpus of text strings that is input into a word embedding function which generates a set of vectors based on the corpus. Because the configuration of the text string positions values by field names and field values, implicit relationships and contexts are identified within the data using the word embedding function.
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