Invention Grant
- Patent Title: Identifying related field sets based on related source types
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Application No.: US17201338Application Date: 2021-03-15
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Publication No.: US11841853B2Publication Date: 2023-12-12
- Inventor: Kristal Lyn Curtis , Archana Sulochana Ganapathi , Adam Oliner , Steve Yu Zhang
- Applicant: SPLUNK Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06F16/24
- IPC: G06F16/24 ; G06F16/242 ; G06F16/25 ; G06F16/31 ; G06F16/907

Abstract:
Embodiments of the present invention are directed to identifying related data, in particular, data associated with different source types. In embodiments, a first source type related to a second source type associated with a search query is identified. Field set pairs are identified from a first data set associated with the first source type and a second data set associated with the second source type. Each field set pair can include one field set associated with the first source type and another field set associated with the second source type. For each field set pair, an extent of similarity is determined between the corresponding field sets. Based on the extent of similarities between the corresponding field sets, at least one pair of related field sets is identified. An indication of the at least one pair of related field sets is provided, for example, for presentation to a user.
Public/Granted literature
- US20210200755A1 IDENTIFYING RELATED FIELD SETS BASED ON RELATED SOURCE TYPES Public/Granted day:2021-07-01
Information query