Unverified50% confidenceFactExact time
Semantic grounding binds the metrics in a user's question (such as "profit margin" or "target achievement rate") to the organization's approved business definitions and calculation logic, often relying on a metrics layer or semantic layer to achieve this; only when both schema grounding and semantic grounding are correct can the SQL be both structurally correct and business-correct.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe semantic layer is an abstraction layer situated between raw data storage and business applications, transforming technical database structures into business-friendly conceptual models and defining unified calculation logic for business metrics.73% similarUnverifiedSchema grounding is a key step in Text-to-SQL, referring to the system mapping business terms in natural language onto the database's actual tables, fields, primary and foreign key relationships, and constraints, usually accomplished with the help of metadata catalogs, field comments, and business glossaries, and it is a prerequisite for the correctness of the subsequent SQL.72% similarUnverifiedThe Semantic Layer establishes a mapping between raw database fields and business language; without it, Agents can produce inconsistent results due to variations in how questions are phrased.65% similarUnverified语义注入层而非模型扩参,是提升企业 Text-to-SQL 可靠性的更优路径64% similarUnverifiedData ontology improves the groundedness of model-generated SQL and reduces the probability of hallucination-type erroneous outputs by providing canonical aliases, definitional descriptions, and calculation logic for fields.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1026077API
curl https://kongchang.com/api/v1/knowledge/claims/1026077MCP
get_claim(id=1026077)