Invention Application
- Patent Title: GENERATION OF A DATA MODEL APPLIED TO OBJECT QUERIES
- Patent Title (中): 适用于对象查询的数据模型的生成
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Application No.: US14815884Application Date: 2015-07-31
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Publication No.: US20150339344A1Publication Date: 2015-11-26
- Inventor: Alice Emily Neels , Archana Sulochana Ganapathi , Marc Vincent Robichaud , Stephen Phillip Sorkin , 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
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
Embodiments include generating data models that may give semantic meaning for unstructured or structured data that may include data generated and/or received by search engines, including a time series engine. A method includes generating a data model for data stored in a repository. Generating the data model includes generating an initial query string, executing the initial query string on the data, generating an initial result set based on the initial query string being executed on the data, determining one or more candidate fields from one or results of the initial result set, generating a candidate data model based on the one or more candidate fields, iteratively modifying the candidate data model until the candidate data model models the data, and using the candidate data model as the data model.
Public/Granted literature
- US09589012B2 Generation of a data model applied to object queries Public/Granted day:2017-03-07
Information query