US 11,841,853 B2
Identifying related field sets based on related source types
Kristal Lyn Curtis, San Francisco, CA (US); Archana Sulochana Ganapathi, San Francisco, CA (US); Adam Oliner, San Francisco, CA (US); and Steve Yu Zhang, San Francisco, CA (US)
Assigned to Splunk Inc., San Francisco, CA (US)
Filed by SPLUNK Inc., San Francisco, CA (US)
Filed on Mar. 15, 2021, as Appl. No. 17/201,338.
Application 17/201,338 is a continuation of application No. 16/050,487, filed on Jul. 31, 2018, granted, now 10,949,420.
Prior Publication US 2021/0200755 A1, Jul. 1, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/24 (2019.01); G06F 16/242 (2019.01); G06F 16/25 (2019.01); G06F 16/31 (2019.01); G06F 16/907 (2019.01)
CPC G06F 16/2443 (2019.01) [G06F 16/25 (2019.01); G06F 16/313 (2019.01); G06F 16/907 (2019.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
identifying a relationship between a first source type identified in a search query and a second source type excluded from being identified in the search query, the relationship identified using a metadata catalog that includes indications of related source types;
identifying field set pairs from a first data set associated with the first source type and a second data set associated with the second source type, wherein each field set pair includes one field set associated with the first source type and another field set associated with the second source type;
for each field set pair, determining an extent of similarity between the corresponding field sets by analyzing at least field names or field values associated with the corresponding field sets;
identifying at least one pair of related field sets based on the corresponding extent of similarities exceeding a similarity threshold or based on the corresponding extent of similarities being a highest set of similarity scores; and
providing an indication of the at least one pair of related field sets.