- Patent Title: Focused probabilistic entity resolution from multiple data sources
-
Application No.: US16562201Application Date: 2019-09-05
-
Publication No.: US11294915B2Publication Date: 2022-04-05
- Inventor: Andrew Poh , Anshuman Prasad , James Ding , John Holgate , Ranajay Sen , Shuo Zheng
- Applicant: Palantir Technologies Inc.
- Applicant Address: US CA Palo Alto
- Assignee: Palantir Technologies Inc.
- Current Assignee: Palantir Technologies Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06F7/02
- IPC: G06F7/02 ; G06F16/00 ; G06F16/2457 ; G06F3/04842 ; G06F16/2455 ; G06F16/93 ; G06F16/335

Abstract:
Various systems and methods are provided for performing soft entity resolution. A plurality of data objects are retrieved from a plurality of data stores to create aggregated data objects for one or more entities. One or more retrieved data objects may be associated with the same entity, based at least in part upon one or more attribute types and attribute values of the data objects. In response to a determination that the one or more of the retrieved data objects should be associated with the same entity, metadata is generated that associates the data objects with the entity, the metadata being stored separately from the data objects, such that the underlying data objects remain unchanged. In addition, one or more additional attributes may be determined for the entity, based upon the data objects associated with the entity.
Public/Granted literature
- US20200065310A1 FOCUSED PROBABILISTIC ENTITY RESOLUTION FROM MULTIPLE DATA SOURCES Public/Granted day:2020-02-27
Information query