Invention Publication
- Patent Title: Knowledge Graph Generation for Data Warehouse
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Application No.: US18188059Application Date: 2023-03-22
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Publication No.: US20240273092A1Publication Date: 2024-08-15
- Inventor: Amit Aggarwal
- Applicant: Datalris Platform, Inc.
- Applicant Address: US CA Los Altos
- Assignee: Datalris Platform, Inc.
- Current Assignee: Datalris Platform, Inc.
- Current Assignee Address: US CA Los Altos
- Main IPC: G06F16/2452
- IPC: G06F16/2452 ; G06F16/22 ; G06F16/2453

Abstract:
Query language statements are generated from natural language statements using a knowledge graph representing one or more databases. The knowledge graph is obtained by creating nodes representing tables and operations referenced by queries to the databases. The data of the databases is evaluated to identify entities and dimensions of entities from among the nodes. The entities are assigned human-understandable labels by an LLM. A natural language statement is converted to a knowledge graph language (KGL) statement and references in the KGL statement are replaced with references to entities in the knowledge graph. The KGL statement is then programmatically converted to a database language statement.
Information query